{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "just adding changes for branch loso"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Study Area\n",
    "Some code snippets, much borrowed from Mark Fahnestock, to download and view pertinent data related to our study area (the Grand Plateau Glacier and surroundings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "### import modules\n",
    "# these might not all be necessary\n",
    "import numpy as np\n",
    "# import laspy as lp\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import sys\n",
    "import os\n",
    "import gdal\n",
    "import osr\n",
    "import os\n",
    "import rasterio as rio\n",
    "from rasterio import plot\n",
    "import fiona\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load and display satellite image\n",
    "This is a 50 m x 50 m sentinel 2 mosaic from the itslive project.\n",
    "It is in EPSG 3413 (WGS 84 / NSIDC Polar Stereographic) with bounding box [min x, max x, min y, max y] -3450000, -3400000, 150000, 200000."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Open the basemap with rasterio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPSG:32607\n"
     ]
    }
   ],
   "source": [
    "basemap_fn = '/srv/shared/data-crossovers/GP_32607_50m.tif'\n",
    "basemap_src = rio.open(basemap_fn)\n",
    "basemap_src.profile\n",
    "print(basemap_src.crs)\n",
    "basemap_extent = rio.plot.plotting_extent(basemap_src)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "basemap_fn = '/srv/shared/data-crossovers/GP_32607_50m.tif'\n",
    "basemap_src = rio.open(basemap_fn)\n",
    "basemap_src.profile\n",
    "print(basemap_src.crs)\n",
    "basemap_extent = rio.plot.plotting_extent(basemap_src)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "not sure if following is useful?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "basemap_src.profile['photometric'] = \"RGBA\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read basemap as a NumPy masked array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "basemap = basemap_src.read(1, masked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a quick plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot with rasterio (uses bad colormap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f12f1020510>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rio.plot.show(basemap)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "source": [
    "Plot with matplot (uses good colormap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "fname must be a PathLike or file handle",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-136-517c681642ff>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'xlabel'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'ylabel'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmpimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbasemap\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'study_area.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36mimread\u001b[0;34m(fname, format)\u001b[0m\n\u001b[1;32m   1472\u001b[0m             \u001b[0mfd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1473\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0m_png\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_png\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1474\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_file_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1475\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_png\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_png\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1476\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/contextlib.py\u001b[0m in \u001b[0;36m__enter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    110\u001b[0m         \u001b[0;32mdel\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    111\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 112\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    113\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"generator didn't yield\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/matplotlib/cbook/__init__.py\u001b[0m in \u001b[0;36mopen_file_cm\u001b[0;34m(path_or_file, mode, encoding)\u001b[0m\n\u001b[1;32m    416\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mopen_file_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_or_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"r\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    417\u001b[0m     \u001b[0;34mr\"\"\"Pass through file objects and context-manage `.PathLike`\\s.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 418\u001b[0;31m     \u001b[0mfh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopened\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mto_filehandle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_or_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    419\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mopened\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    420\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mfh\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/matplotlib/cbook/__init__.py\u001b[0m in \u001b[0;36mto_filehandle\u001b[0;34m(fname, flag, return_opened, encoding)\u001b[0m\n\u001b[1;32m    407\u001b[0m         \u001b[0mopened\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    408\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 409\u001b[0;31m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'fname must be a PathLike or file handle'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    410\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mreturn_opened\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    411\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mfh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopened\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: fname must be a PathLike or file handle"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 4320x4320 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (60,60))\n",
    "plt.xlabel('xlabel')\n",
    "plt.ylabel('ylabel')\n",
    "plt.imshow(mpimg.imread(basemap_fn))\n",
    "fig.savefig('study_area.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import ArcticDEM\n",
    "Jun was right--Polar Geospatial Center's website is down. Luckily I already have downloaded the DEM of interest. If you wanted to get it yourself when the PGC website was running, you'd go to http://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/2m/42_06/42_06_2_2_2m_v3.0.tar.gz and then extract the DEM from that archive. \n",
    "\n",
    "I've saved it (for now) at crossovers/contributors/loso/ArcticDEM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find and open dem as a dataset object using rasterio\n",
    "\n",
    "Rasterio documentation: https://rasterio.readthedocs.io/en/stable/\n",
    "\n",
    "There are three versions of the DEM available. Native version is 2 m and untiled: 42_06_2_2_2m_v3.0_reg_dem.tif\n",
    "I resampled with gdalwarp to 10m and 100m resolution to make it easier to work with and visualize. Filenames of those differ only by changing \"2m\" to \"10m\" or \"100m\" respectively"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_ArcticDEM_folder = '/srv/shared/data-crossovers/ArcticDEM/42_06_2_2_100m_v3.0_reg_dem_32607.tif'\n",
    "ArcticDEM_src = rio.open(path_to_ArcticDEM_folder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Verify CRS, profile, and pixel dimensions (it is square). Also generate extent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'driver': 'GTiff', 'dtype': 'float32', 'nodata': -9999.0, 'width': 546, 'height': 546, 'count': 1, 'crs': CRS.from_epsg(32607), 'transform': Affine(95.78773446933079, 0.0, 650017.1713167848,\n",
      "       0.0, -95.78773446933079, 6579617.665651759), 'tiled': False, 'interleave': 'band'}\n",
      "EPSG:32607\n",
      "(650017.1713167848, 702317.2743370394, 6527317.562631505, 6579617.665651759)\n",
      "546\n"
     ]
    }
   ],
   "source": [
    "print(ArcticDEM_src.profile)\n",
    "print(ArcticDEM_src.crs)\n",
    "ArcticDEM_extent = rio.plot.plotting_extent(ArcticDEM_src)\n",
    "print(ArcticDEM_extent)\n",
    "print(ArcticDEM_src.height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "54.59853477887479\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.9945205479452055"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(546*100*546*100)/(1000*1000)\n",
    "import math\n",
    "print(math.sqrt(2981))\n",
    "728/365\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reproject extent into lat/Long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "((58.85936873949439, 59.306828871347534), (-138.3990209216774, -137.44559547328527))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/ipykernel_launcher.py:7: DeprecationWarning: This function is deprecated. See: https://pyproj4.github.io/pyproj/stable/gotchas.html#upgrading-to-pyproj-2-from-pyproj-1\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "from pyproj import Proj, transform\n",
    "\n",
    "inProj = Proj('EPSG:32607')\n",
    "outProj = Proj('EPSG:4326')\n",
    "x = ArcticDEM_extent[0:2]\n",
    "y = ArcticDEM_extent[2:4]\n",
    "ArcticDEM_extent_latlong = transform(inProj,outProj,x,y)\n",
    "print(ArcticDEM_extent_latlong)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create NumPY array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(650017.1713167848, 702326.8531104864, 6527307.983858057, 6579617.665651759)\n"
     ]
    }
   ],
   "source": [
    "print(ArcticDEM_extent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "arcticdem = ArcticDEM_src.read(1, masked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simple plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f7fac2bb590>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rio.plot.show(arcticdem)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate shaded relief map\n",
    "* Many ways to do this, but we'll just use the `gdaldem` command line utility for simplicity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hs_fn = os.path.splitext(srtm_fn)[0]+'_hs.tif'\n",
    "if not os.path.exists(hs_fn):\n",
    "    !gdaldem hillshade $srtm_fn $hs_fn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "srtm_hs_src = rio.open(hs_fn)\n",
    "hs = srtm_hs_src.read(1, masked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot color shaded relief map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "f, ax = plt.subplots()\n",
    "ax.imshow(hs, cmap='gray', extent=rio.plot.plotting_extent(srtm_hs_src))\n",
    "ax.imshow(srtm, extent=srtm_extent, alpha=0.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reproject GLAS points to match raster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "import gdal, osr \n",
    "import numpy as np\n",
    "\n",
    "def raster2array(geotif_file):\n",
    "\n",
    "    metadata = {}\n",
    "    dataset = gdal.Open(geotif_file)\n",
    "    metadata['array_rows'] = dataset.RasterYSize\n",
    "    metadata['array_cols'] = dataset.RasterXSize\n",
    "    metadata['bands'] = dataset.RasterCount\n",
    "    metadata['driver'] = dataset.GetDriver().LongName\n",
    "    metadata['projection'] = dataset.GetProjection()\n",
    "    metadata['geotransform'] = dataset.GetGeoTransform()\n",
    "\n",
    "    mapinfo = dataset.GetGeoTransform()\n",
    "    metadata['pixelWidth'] = mapinfo[1]\n",
    "    metadata['pixelHeight'] = mapinfo[5]\n",
    "\n",
    "    metadata['ext_dict'] = {}\n",
    "    metadata['ext_dict']['xMin'] = mapinfo[0]\n",
    "    metadata['ext_dict']['xMax'] = mapinfo[0] + dataset.RasterXSize/mapinfo[1]\n",
    "    metadata['ext_dict']['yMin'] = mapinfo[3] + dataset.RasterYSize/mapinfo[5]\n",
    "    metadata['ext_dict']['yMax'] = mapinfo[3]\n",
    "\n",
    "    metadata['extent'] = (metadata['ext_dict']['xMin'],metadata['ext_dict']['xMax'],\n",
    "                          metadata['ext_dict']['yMin'],metadata['ext_dict']['yMax'])\n",
    "\n",
    "    if metadata['bands'] == 1:\n",
    "        raster = dataset.GetRasterBand(1)\n",
    "        metadata['noDataValue'] = raster.GetNoDataValue()\n",
    "        metadata['scaleFactor'] = raster.GetScale()\n",
    "\n",
    "        # band statistics\n",
    "        metadata['bandstats'] = {} #make a nested dictionary to store band stats in same \n",
    "        stats = raster.GetStatistics(True,True)\n",
    "        metadata['bandstats']['min'] = round(stats[0],2)\n",
    "        metadata['bandstats']['max'] = round(stats[1],2)\n",
    "        metadata['bandstats']['mean'] = round(stats[2],2)\n",
    "        metadata['bandstats']['stdev'] = round(stats[3],2)\n",
    "\n",
    "        array = dataset.GetRasterBand(1).ReadAsArray(0,0,metadata['array_cols'],metadata['array_rows']).astype(np.float)\n",
    "        array[array==metadata['noDataValue']]=np.nan\n",
    "        array = array/metadata['scaleFactor']\n",
    "        array = array[::-1] #inverse array because Python is column major\n",
    "        return array, metadata\n",
    "\n",
    "    elif metadata['bands'] > 1:\n",
    "        print('More than one band ... need to modify function for case of multiple bands')\n",
    "\n",
    "def array2raster(newRasterfn,rasterOrigin,pixelWidth,pixelHeight,array,epsg):\n",
    "\n",
    "    cols = array.shape[1]\n",
    "    rows = array.shape[0]\n",
    "    originX = rasterOrigin[0]\n",
    "    originY = rasterOrigin[1]\n",
    "\n",
    "    driver = gdal.GetDriverByName('GTiff')\n",
    "    outRaster = driver.Create(newRasterfn, cols, rows, 1, gdal.GDT_Byte)\n",
    "    outRaster.SetGeoTransform((originX, pixelWidth, 0, originY, 0, pixelHeight))\n",
    "    outband = outRaster.GetRasterBand(1)\n",
    "    outband.WriteArray(array)\n",
    "    outRasterSRS = osr.SpatialReference()\n",
    "    outRasterSRS.ImportFromEPSG(epsg)\n",
    "    outRaster.SetProjection(outRasterSRS.ExportToWkt())\n",
    "    outband.FlushCache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "def hillshade(array,azimuth,angle_altitude):\n",
    "    azimuth = 360.0 - azimuth \n",
    "\n",
    "    x, y = np.gradient(array)\n",
    "    slope = np.pi/2. - np.arctan(np.sqrt(x*x + y*y))\n",
    "    aspect = np.arctan2(-x, y)\n",
    "    azimuthrad = azimuth*np.pi/180.\n",
    "    altituderad = angle_altitude*np.pi/180.\n",
    "\n",
    "    shaded = np.sin(altituderad)*np.sin(slope) + np.cos(altituderad)*np.cos(slope)*np.cos((azimuthrad - np.pi/2.) - aspect)\n",
    "\n",
    "    return 255*(shaded + 1)/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use raster2array to convert \\Geotif to array & plot\n",
    "arcticdem_array, arcticdem_md = raster2array(path_to_ArcticDEM_folder)\n",
    "#plot_band_array(arcticdem_array,arcticdem_md['extent'],'ArcticDEM','Elevation, m',colormap='gist_earth')\n",
    "rio.plot.show(arcticdem_array)\n",
    "ax = plt.gca(); plt.grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7O3E6neTk5HDvvfeye/duHnroIc6cOfOO5jE/Px+j0fimY6dPn+bo0aNvee/4+FXFoq4JywbiOiKdNZifnxdPzJmZGaqrq2loaBAGIxAIkJubS21tLTMzMywsLPD444+/4/GUSiVjY2P4/X7UajWRSIT29nays7PZt28fExMTOJ1OBgcHcbvdTExM4HA4UKlUKBQKTCYTZ86c4b777qOiooLR0VHMZjORSIRIJILb7aajowOn00lZWRlms5k77riDD37wgyiVSnbv3i1cgg984AMUFhYSCoUwm80UFhYyNzdHKpUiIyODFStWUFJSgt/v57bbbqO6uhqbzcbXv/51duzYwZe//GWSySRKpZJUKsW5c+fo6OggFoshSRJDQ0MYjUbcbjcWi4W2tjZ+9rOfMTAwQHNzM+Xl5Vy6dIlEIkFJSQm5ubl8//vfx+fzsXXrVrZu3UogECAWi3H06FFkWUaSLism1tfX8/d///e89NJL3Hjjjbz22msUFRVhMpnIy8tj27ZtIsOi1WrFTTo6Oso//dM/ce+991JYWIhCoRAu2zuBwWAgLy/vTccWFxc5ceIEf/RHf/Sm4yUlJe/489+I5RjEdURBQQEOh4NwOEwikaC3txeFQkFPTw+xWIypqSk0Gg3Nzc2cO3cOs9mMx+Phsccee1fj2e12hoeHkWVZsBfr6ur46U9/yo4dO8jIyGBgYIDt27djMBjQaDQkEgmGhoZQqVT09/dTXV1NPB7H5XIhSRILCwtYrVZCoRAqlYrGxkYkSeLFF1+ksrJSEMBWrFiBUqkkNzcXtVotYgA2mw2fz8fw8DCbN2/m4MGDNDU1ARCLxairq+PMmTOcPXsWrVZLJBJh79693H777UxPT5OXl8cdd9zBnj17CIVCSJIkXBi1Wk1lZaVIoZ44cQKTycTmzZsxm83s2bOHeDzOxYsXaW9vR6lUMjQ0hE6nY+fOnTz44IMcOnSIm2++mfb2durr64UBS6Oo6LKC4pNPPonT6cRsNmOxWFAoFGRlZVFWVvamOcjJyRGuldPpFEbnjfjoRz/Kf/zHf1x1Hufn599iCCRJorGxkVgs9q7WxtWwbCCuIxwOB06nk1AoxJ133klbW5tI283NzYnt+dNPP41er6e9vR2tVvuuxysvL+eRRx4RT9lIJEJNTQ0KhUJQr+vr65FlmZtvvplDhw5x//338z//8z9Eo1EcDgdtbW1iYYfDYex2OwCzs7Mkk0laW1uxWq3o9XpaW1sZHx8XnIbq6mqsVitut5vq6mosFgsul4uSkhI0Gg2xWIy8vDz+67/+izvvvJPGxka+9rWvsXnzZiRJ4tixY+zYsYPJyUm++c1vUldXx9jYGEePHmXt2rUoFAoGBwcZHR3F4XAwPz+PTqdDqVRiNBqpr6/HYDCwd+9eotEoGo2GeDzOyMgIOp0Ov9+P0Wjk+PHj+P1+du7ciSzLXLx4kR//+Mfk5OTwta99TczBzMwM8XichYUFYQy8Xi+xWIyZmRmsVutb5kClUtHR0UFmZiapVIrvfve7fP3rXxfnN2/ejEr162/L5ubmtxwzGAzk5+eLoPF7hWUX4zoiKyuLmZkZJEkSN53X66W+vp7x8XHi8ThjY2NMT0+ztLSETqcjN/eK6uTXhPPnz6PVajEajYTDYZaWlvB4PNTW1pKRkcH09LTgQWRkZBCJRNi3bx/T09MsLi4iyzIrV64UxWORSASPx8Pk5CTT09O43W5MJpN40qezEi6Xi9HRUQYGBuju7hZELZPJxMaNG0URmiRJrFq1ipaWFjo6OtBqtXz1q1+lsLAQi8VCOBxmeHiYnJwc1Go1Dz74IB6Ph3g8Tl5eHuXl5cTjccrKypiZmaGyspK1a9cyNTWFzWYTsY+5uTm6u7t57bXXkCRJFKRVV1fT1dWFXq9nYmKCH/3oR2zfvp2RkREmJydxOp1885vfpK2tjV/84he4XC5xMw8ODpJMJsnKyiKZTFJSUoLL5XrLHFRUVJCfn09OTg4XL14kmUyyZcsWsrOzRXbE6XSyefPmd6QRkkwmhRv4XuJ97az1bvB/WfZ+7969HDp0CJfLxS233CIYhukUZzKZZGZmhmg0SjQaZf/+/b/ReB/72Meoq6tjxYoVFBcX43Q6MRqNPPfcc2RkZAh/XK1Ws337ds6cOUMqlcLn83H69GmsVqvY4aT9546ODrKyskSaVqVSMT4+TmFhIbm5ueh0OoLBIDMzM5hMJsEYLS4uprm5mcLCQsxmM2q1mvn5eXw+HyqVilAoxA9/+EPWr1/Pxo0bBSFLqVQyPz9Pbm4up06dYvv27TzzzDP8+Z//Ob29vSImUlxczDPPPCPqSKxWK//8z//M1NQU0WgUk8mETqfjscceY3p6mqamJpHFOXDgACMjI6jVahoaGjh37hx9fX2ijiW9Y4jFYmzcuJGSkhIOHTokCu60Wi333XcfJpOJiYkJtm7desX5eP755+nq6qKhoQGn0wnA008/TVFREZWVlWRkZNDf339N8z45OcnZs2f54Ac/eMXzTz/99FXjVpIktcuyvPaK55YNxPVDa2srR44cYWJiAr/fj8Ph4J577uHQoUOCsNPd3Y3H46G4uPhNIjKPPvooP/jBD97T63nyySfJy8sjmUzi9/vR6XScPXuWHTt20NHRQSKRwOfzYbVaGR0dpaioiFgshs/nw+PxiIDjwsKC4ANotVqSySQqlYpgMChYnDqdjsbGRjQaDYWFhRQWFlJaWsrCwgIejwez2UwgEGBwcJDx8XHWrl1LZmYmra2tyLKMTqcjJyeHvXv3olKpsNlsBAIBsrOzUSqV5OTkiFiOTqcjOzubs2fPkkqlmJ2dFTuxO+64A4vFQkNDgwgctra2Mjg4SHd3NzqdjmPHjtHc3MzS0hKpVIrS0lJSqRR9fX1UVVVRXFzMd77zHbKysohEIoIY5nA4WL16tSBvXe0GfeKJJ5iZmSE3N5fOzk5MJhN6vV5ki0wmE7/85S+vOm+hUAilUoler7/i+R//+MekUiny8vKEG5su+lMoFNx8883LBuJ3EYcPH+bEiRMMDw8Tj8eJRCI89NBDzMzMcOHCBUwmEwaDAafTKdKTv+ku4lpx9913c8MNN6DVaqmqqmLPnj1IkoRGoxHuiEqlQqVSsbi4SG5uLkeOHMHj8ZCTk0MkEkGr1dLY2EhGRgZKpZKzZ88K7Qmz2SxunHSmxGg08sADD4htss1mIxaL0dbWxuDgIFu3buXSpUuEw2EyMzM5fvw4CoWCVCqFQqFgaWlJxEYWFhYIh8OUl5dTWFgo+BKjo6PodDoGBgbIzc0VrktGRgb5+fmC2u5wOPB4PHzve99j1apVwq0pKipicnKShYUFMjMzcblc4if9/RiNRmKxGNXV1YLnMTw8zKlTp37td759+3aysrLE9dbV1fHLX/4SvV7Pz3/+86v+3dTUFFlZWW9JfQJ87nOf4+Mf/zjz8/P4/X66u7uprKzEaDSKStjS0tJlA/G7iOPHj/PDH/6Qnp4eHn30UTo6Okgmk2zatIm2tjZ0Oh3xeFykHM1mM3v37n1fru0HP/gB4+PjaDQaAoEAly5doqWlhUgkgs1mIxQKEQwGBZdjenqagoICDh8+LHYOkiTh9/spLS0lEolQXl4uiFjBYJBgMIhSqUSj0aBWq8nIyMDhcHDTTTdRWFhIcXGxoHG73W6eeeYZ/uiP/ojOzk6mpqYIhUIiczEwMEAsFmP16tVcunSJW265ha6uLhEPCQaD5OfnY7fbmZubw2azMTU1xaVLl1AqlajVasGALC0tZc2aNczMzHD06FFKS0sxGAzMzs7y+c9/noWFBV555RVcLhdjY2NCYyMdyA2Hw1gsFoqKijAYDFy6dInZ2VmGh4ev6bt/5JFHaGlp4TOf+Yw4tnnzZux2u8hSPP300/T395ORkUFtbS1ZWVlv+Zx//dd/5VOf+tTbjvfrXIzlIOV1hEqlQqvVsmbNGrKzs1lYWMBisdDe3i62s8lkkry8PEwm0xVTYu81/uZv/oZPfvKTBINBbDYbo6OjnD17VgQt3W43sViMgoICQqEQ1dXVDA4O4vP5iEajrFu3DofDgUajwe/3U1JSIgKwHo+H7u5uent70Wq1VFdXk5GRgdFopLi4mJqaGvLz85mcnBS1J6lUiuzsbGpra8nNzSUnJ4eRkREikQiFhYXE43FisRhlZWWUlJTQ29uLSqUikUgwPT2N3+9HkiSysrKYn58XJevpHU5DQwMqlYry8nIRvK2oqMBgMOD3+2lsbKSoqEjQvpVKJZFIhA0bNgihH4vFIoRzQqEQCoWCgoICAoEA8/Pz4jvbtWsXDzzwAB/96Ed/7Rw8//zzbzIOcPlhkmZchsNh/vzP/5yhoSE8Hg9qtfqKn1NaWvobr4flNOd1RFZWFiMjI9x8881kZGRgtVrJzc3FarXS19eHVqsVtRHFxcUsLi7+Vq/n8ccfJx6Ps2vXLg4ePEhzczPxeByHw4HdbkehUODxeMjIyODChQts2bKF/v5+iouLUSgUOJ1OrFYrmZmZuN1usc3PysrCZDIRCoWIRCLMzs4yNjZGaWkp5eXlFBcXU1hYiEajYW5ujqmpKdrb26murqa8vJyMjAzUajWf+9znuHDhAh6Ph2QyydDQEMlkEp1OhyzLFBQU4Pf70Wq1HDx4UNSRpIOrlZWVgsFpNpsxGo3Iskw8Hken04nCqsnJSfLy8lhaWhKMza1btzI4OMjPfvYzbr31Vs6fP09mZiZVVVXs378fhUJBTk4O8XgcSZIE0zQYDKLRaARd/Pz589x+++3van527txJf38/NpuNgYEBWltbMZlMtLS0iPjD4cOHkSQJl8v1rqp9fxXLO4jriLS/2dDQwMmTJ9FqtbS1tdHQ0IDRaMRut+NwOEQlodls/q1ez6ZNm5iYmMDn8+FwOPjpT3+KUqnkxhtvJBwOC35DTU0NWq2WF154Ab1e/6bqUL1ej8lkoqCgAJvNxuTkJMlkkoGBAQwGgxCqWVxcZGZmhsOHD3P+/HkOHjzI4cOH+clPfsKlS5fIy8vjE5/4BN3d3fzgBz9gbm4OSZI4ceIENTU1JJNJAoEAAwMDqNVqHA4HeXl5gsS0fv16jEYjRUVFVFRUkEwmcblcuN1uAoEACoUCn88nuA9pn1+lUrGwsEB3dzdut5tIJEI8HqexsZEVK1ZQUVFBW1sbL774IhkZGRgMBiwWCyqVCovFgkajERkdSZKENN/KlSuZn59nx44dImPxTlFcXIxWq2VsbAyHw0FZWRkqlepNcSmVSoXb7RY7p98UyzuI6wilUoksy+Tk5IiAXPpJm04ntrS0sH//fh544AGmpqbe8hlf/epX+eu//uvf6Dr++I//GJfLxZYtW7j77rtpbW0lGAyyYsUKjEYjMzMzDA8P4/V6cTgc7NmzB6vVys6dO2lra6OwsBCj0cjIyAgf//jHee6559BqtZSUlODz+ZidnUWSJAwGg6jnSLsZFouF4uJi2traKC0tFWnWdFbkzJkzrF69mn/5l3/h4YcfprS0VBStabVawZGIxWIcOHCAhoYG+vr6iEQizM/Pk5+fjyzLYgc2NzfHpUuXmJubw2q1MjY2hslkIhwO097ejslkwuFwYLVaMZvNnDp1CoPBQDQaZceOHfT19fHss8/icDjQarWcOnWKiooK2tvbAVi1ahUHDx5ElmURiFWr1YIQFg6HkSSJ9evXo9frqaysRJIkvva1rwFw4cIFbrvttivOk1qtZt26dfj9fvr6+kTg+he/+AVHjx5ldHSUjIwMtFqtqGZta2vjs5/97Luq3YFlA3Fd4Xa70ev1JJNJZmdnGR0dpaWlhaNHjzIxMYHRaCQQCDA3N8fevXuJRCL86Ec/IhKJ8Nhjj/H1r3+d/v7+3/g6CgoKaG5uZnJyEofDIQxB2mCNjY3h9Xrx+XxkZ2fT3NzMxYsXhW8uy7IQsk0rNoVCIRKJhNCizMrKYnp6mlAoRG5uLqWlpQwPD2Oz2fD7/axdu5bq6mr0er1I8aZ5GAqFgtzcXA4cOEAoFKK7u5usrCyam5s5ceIEkiQRj8eFS5GdnY1KpaK4uJh4PE40GhViOCUlJeTl5TE8PCKgoiEAACAASURBVEwwGAQucwj8fj+xWIy5uTmRiamqquKOO+6gtbWVw4cPk0wmOX36NFNTUwSDQSYnJ4HLjMqSkhJWr17NhQsX0Ol0ZGZmApczDFVVVYRCIbq6ugDIy8ujqamJdevWMTs7y7Fjx3j11VeZnp6+qtboK6+8wvj4OFVVVYyNjbF69WpmZmZobGxkcHCQgwcPihgPXK4UlmWZ0tJSvvGNb/C9733vXa2NZQNxHZFMJsnMzBTRd41Gw9LSEo2NjQwPDxOJRFizZg2xWIzDhw+TSqXo6OjA7/cTjUaJRCLEYjHuuusu6urq+MY3vvGOxn/iiSew2+3i5hofH+fUqVMUFBSI92RmZpKZmYndbic3N5eBgQG++MUvMjQ0xN69e8nIyKC0tFRse8fHx7HZbNTW1hIOh0mlUjidTtKZKLvdjk6no6ioiMXFRRKJBMXFxUiShNVqZcWKFcLvLyoqwmazMTc3R3FxMVNTUwwPD6NSqbjppptoa2ujvLycYDCIx+OhsrJSxDnsdjtVVVUio3LkyBERvFQoFNTX1xOLxQRHI31jTk5Oil1dbm6uoJYrlUpOnTrFnj17RKAyKytLxFkkSaKiooJQKARc1s6cn59Hr9eLNGReXh6HDh0C4LHHHhM1NV/4whfedq7eyKq89dZbAfjmN7/JihUrqKys5MKFC28KVi4tLeFwONDr9W8xDv/v//0/5ufnr0loaNlAXEek6wH6+vrEU252dpa6ujpWrVpFZ2cnkUiE+vp6QqEQHR0d1NXVceLECfx+v1Bb8nq9DA8P8/GPf5zq6mq6u7v5/ve//7bjp1IpNBoNJSUlXLhwAa/XS3Z2tlCRmp+fZ3Z2llQqhdlspqOjg9raWv77v/+bSCSC0WgklUrx2muvceedd3Lo0CGKi4uZm5vj/Pnz5OTksGXLFo4dO8bo6CgKhQKlUsnw8DArVqygpaWFsbEx4vE4k5OTHDlyBICmpiYeffRROjs7aWhoQKfT0d/fLzp/FRYWMjAwQFFRERqNhqNHj6LT6YhEImRnZ4t4QUFBAXa7Ha1WSygUYmxsDIvFQigUYmpqSmReSktLBYkrPz9f7CLSqdadO3fidrvZt2+fIF6lsy5prkdFRQUKhQJZlrFYLPT19eH1eunu7iYUCjE7O0tbW5v47n/dE33Tpk20tra+7fx99rOf5cc//jGbNm1Co9FQV1cnzvX29nLffffxs5/97C1/Fw6HefbZZwkEAvzXf/3Xrx1j2UBcZ5SUlDAyMsKKFStYWlqiubmZ/v5+QqEQpaWlnDx5ErvdTmNjIyqVimg0KkRWbTYbdrud0tJSsrKyGBsbY3Z29orFPHC5XuDIkSNMTU0JQRWtVsuZM2eQZVmwHc1mM6WlpYTDYUKhEJOTk9x+++0iRVlTUyOYiNnZ2UiSJHYeOp0OtVpNdna2oDUXFhZy7733sm/fPoLBoNDAuOGGG8TNdOutt/Lzn/+ckZERTp48KVwBuFwmnW7Yk5a4S6teGQwGTCaTcGNkWcbn8zE2Nsbx48f5yEc+IoyWVqtl+/btTE5OUlBQIDIYsiwzOTkp2IvDw8NMT0/T29vL+vXrUalU6PV6uru7KS4uJpFIcN9993H77bej1+sZGBgQNS5Op5PW1lYOHTokRH79fj8ajeaa1sOuXbuoq6tj9+7dTE5Ovm1ntaeeeop169bR1NT0Fo7M1eoyXnjhBWw22xWLyX4Vy1mM64hIJMLq1avJzMzE7/czPDzM1NQUhYWFlJWVMTc3h1qtJpFIMDs7S0lJiUh1RqNRcVMnk0nGx8fZsmULxcXF4kn8Rnz+85+nqqpKKEd1d3cTCATQ6XSiOjEYDGI0Guno6ODIkSPY7XYqKipoampicnKSRx55hBtvvJGNGzcSj8cZHBxkaGiI6upqFAoFCwsLqNVqpqamcDqdzM3N0dvbK/gCdXV1QoZNpVKRl5fHgw8+yO7duzGbzfzVX/0VN910Ey0tLWRkZJBMJunv7xciuFVVVWzcuBGXy8XAwAB6vZ6srCwkSaK+vl6odKe1Nvv7+zl48CCJRIKqqipcLpd4wgeDQVE3YTQaaWpqIjMzk+LiYux2Ox/+8IfJycnB5XIxPDzM4cOHWb16tWCGTk9P88orr/B3f/d3HDx4kH379vHyyy8zMTFBX1+foEmnrzEtAnwlrFy5krVr17J582ZisRhLS0t0dnaKGMnV0NzczMLCAj6fj1WrVr2FLBWPx9/yNwUFBSSTSdRqNXv27HnbNfq2TEpJkr4P3AV4ZFmuf/2YFfgJUAqMAQ/Ksux7/dwXgI8BKeBPZVne9/rxNcAPAB3wCvBp+RponP+XmZTf/va30el0mM1mvF4vJpNJsP7KysoYHBzEZrOxuLhIX18f99xzD7m5uezduxedTodGo2F4eJjMzEzOnTtHMpnkS1/60hV3ED09PaxcuZKXXnqJubk53G438XgcpVKJy+XC6/VSWlpKf38/qVSKhYUFlpaWWLVqFfn5+fT29iJJEgqFAo1Gg0ajIS8vj6GhIfx+PwsLC+Tk5BAKhVi5ciVer5dgMMji4iIKhUKkIffs2YPRaBRkpaamJh588EGMRiMZGRmiYCsWiwlh3IMHD4quWzk5ORw8eJCKigohSpuu4ZiYmCAUCgn+SJqX8Oyzz5JIJPjyl79MIpFg27Zt6HQ6GhoaMJvNgrrd3t4uKlYlSeIf/uEfBOdCrVYLAxSPxzly5Aj5+fmMjY0BiGt75JFHeOWVV3C73ZjNZlwuF2azmdHRUdavX4/X62Vqaorz58+LuVm9ejVmsxlJkpAkCZ/Ph8lkIplMXpNW5b/927+Rm5tLa2urYKz+5Cc/Qa1Wv8mtgcvkqfScrFq1ildeeeU3ZlL+ANj+K8eeAA7JslwFHHr9NZIkrQQeAupe/5unJElSpv8fwONA1es/v/qZv3fw+Xwkk0mOHTvG8PAwoVBIPIXTjWIWFhYwmUxs2bKF3t5eFhYWuOeee0SvCK/XK2Tj5+bmrqqe7PF4ADh16hSzs7MUFRWRkZHxppvb6XQiyzIZGRmUl5ej0+lobW1leHgYk8kkpNeSySQdHR1iQRcXFwt3YXFxkaGhISEbNz4+Lp6Es7OzxGIxFhYWcDqdIubyl3/5lzzxxBM89dRTLC4u4vF4kGUZk8lEd3c3BQUFpFIpqqur8Xq9rFmzhqamJlE/YbVaufPOO7nnnntEkZdWq8VutxMIBOjs7EShUPDQQw9RWFjIT37yE77zne/wwx/+EKfTKYqX3G43yWSSaDSKx+OhpKSE8fFxYTCtVivxeJxVq1axbds2Udeh1WopLi7G5XIxMzNDZmYm8/PzQrg2XS1aVFREWVkZ5eXlfOhDH2Lt2rXCuEWjUVHfUVZWhl6vx+FwXNM6+sQnPsGuXbvQarV4PB4UCgW9vb3MzMywfv16LBYLOp2OgoICYrEYiURC9Bx5O7ytgZBl+Tjg/ZXD9wLPvv77s8B9bzj+Y1mWF2VZHgWGgBZJkhxApizLp17fNfznG/7m9xapVErI1zscDvx+vzi3cuVKwuEwU1NTpFIpDAYD2dnZoqry9ttvZ3R0lJ07d7Jx40Zuu+02brvttqsKoCaTSZ5//nlaWlpwuVycPXtWLOI0LTpdap0mGeXn51NWVkYikWB8fJzi4mKRYdDr9Vy8eBGHw8Ett9zC6OgoKpWKnTt3it6fq1atYvPmzSwuLtLf38/FixfR6/WEw2EikQiDg4NMTEygVqtxOp3s3buXVCpFfn4+bW1tTExMYLVayc/PJ5FI0N/fj1qtZmFhgUAgICjdMzMzLC0tceutt/K3f/u3/Nmf/Rkmk4nMzEzBy0jTpB988EEeeOABGhsbUSqVHD16VKh7K5VKKioqBBfikUceYffu3Xi9XhYWFrh48SJDQ0Ps27cPv9/PjTfeSGZmJhqNBrfbTSgUEn02UqkUkiQRDAZRqVRCNwMuxwYKCwsxmUyiCZFOp6OkpEQEhf1+P+Xl5dx///186EMfuqb1dN9997G0tERfXx86nU64KmnSls/nY3FxEZVKJZTD3w7vNkhpl2XZBSDLskuSJNvrxwuA0294n/P1Y4nXf//V41eEJEmPc3m38a40+/63IP2Ecrvdos4gLUcfj8fZsWMH4XAYs9mMwWAQQibnz58XHaTSpcVpzcqr0bGPHz9OKpUSrL94PC6EVLq6uoQiUTgc5uWXX2bFihXU1tZy6NAhZFlmZGSEkZERGhoaBAkqlUqJ7lppmbX0jsLv9zMyMoLBYKCxsZGysjJmZ2fJzMzk5Zdfxuv1IsuyEF2ZnZ2loqKC+fl5nE4nJSUlnD17FpVKxeTkJPX19Vy8eBG/34/dbmdsbIz6+noyMjKwWCwiYFlfXw9ATU2N0NxUqVQ899xzrFy5kqKiIiH1NzQ0xODgIH/913/NPffcg8/nE7Ud6fLp2267jZaWFp566ikuXrxIZ2cn8Xic1atXk0wmhdR92r26ePEic3NzIuALl2NNb1R6+vrXv05mZiarV6/m3LlzuN1uenp6RCYrXZh38uRJdDqdcGPeDmkXw2KxIEkStbW1HD9+/E1rIt3fVK1WEw6H3/Yz3+ssxpW4nfKvOX5FyLL8NPA0XI5BvDeX9ruHkZERZmZmRIquurqa8+fPE41G6evro7GxUShCp/UV1qxZgyzLgrw0Pz8vFKSj0Sh79uzhpZdeQpZlrFaryLHfeuut7Nu3D7fbzdLSkiBBuVwu0RAnXR1pNptpa2tjamqKxsZGent7ueGGG7BarSSTSY4fP45SqRRNZSorK+no6CAej4uqT7PZjNPpJB6PEwwGaW9vZ+XKlVRVVdHQ0IBer2f//v1IkiQM1/r164lEIoyOjhKNRgkEAmzYsIHe3l4mJiaoqalhdHSUcDhMQ0ODCNSaTCZisRjPPvssGzdupLq6Wux+SktL6enpYWpqiv7+fnJychgcHGR4eBi1Ws3S0pIIypaVlYnGPemWA+nU71e/+lVOnz7NHXfcwZe//GUCgQA+n4/GxkYWFhZwuVyiP2m6CA8QxKU3or+/H6vVSk9PDzfddBP/9E//xMDAACUlJWi1WqampnC5XCgUChGErq2tfdtu55IkMTMzg8ViwWQyCar+GzEzM8PKlSuxWq3XVBn8bg3EjCRJjtd3Dw7A8/pxJ1D0hvcVAtOvHy+8wvHfWzz33HNiy5du79bX14fFYqG5uZlDhw4xPDxMLBbD6/WSk5NDQUEBkiRhsVi4ePEiVVVV9PX1EQwGOX/+PIFAgLq6Og4cOCBKpz/96U+L/g8ajYZQKCSa0wwNDaFWq6mtrSUUCmGxWDAYDIJvoNPp3hRASz/lh4aGGBkZIZlMsrS0xMjICJs3b+a1117D6/XS3t6OxWKhvr6effv2odFo0Gq1OJ1OCgoKqKurE3Tgzs5OQqGQoDtPTU2xYsUK+vv7CQQCgqsRCASEKExmZqYIckYiEVpbWzEYDMTjcV555RX27NmDw+FArVbz0EMPiZ3P9PQ0p0+fpr+/X+hfer1eCgsLGR4exmAw8KlPfYp169bxrW99i6WlJaxWK7Iss7S0JARoP/OZzyDLMj/72c/Yv38/8XiclStXMj09zfDwsFANfyMv4Y24/fbb+eIXv0hlZSWDg4PY7Xa8Xi+hUIhYLCaK39KK3IDosvbrMD8/LwreNm3axNjY2BW7n/f09FBdXX1N6/TdGohfALuBJ1//96U3HH9ekqR/BPK5HIw8K8tySpKkkCRJNwBngI8A//Iux/4/gaKiIsbGxoQ+4g033ABcLuDq7+/HZDKhUCiE0tDY2JjwHYPBoIhw33nnnYTDYVpaWojH47zwwgsiTRgOh1m1ahWxWIzJyUnRZSot6JLWZ3C73UK8xWw2EwqFWLt2LYlEgpdeegmfz0dNTY0obFq5cqWokmxra2Pt2rUMDAywYsUKrFYrsVgMv98vrjPdJ2JgYICf/vSn2Gw24bt/7GMfE8SvoaEhamtr6erqQqPRoFKpCAQCTExMkJWVhd/vR6lUUlpaitPppLOzUxjZ8vJywfqUZZlIJEJFRQWf+tSnUKlUbNiwgXPnzrFx40aampo4c+YMTU1NDAwMMDw8TFVVFSMjI9x9991oNBqmp6cpKioSIjA9PT0YDAY6OjpYsWIFkiRx3333ceHCBSYmJuju7sbv97O4uCjiQG9UAHsj7r33XioqKviLv/gLTCYTly5dYmlpiWg0itlspri4mLq6OtxuNwaDAYfDQWZmJh/+8If54Q9/eMXP7O7uZmlpSXRKz83NZXBw8KrU7WutDH7bIKUkST8CTgE1kiQ5JUn6GJcNw22SJA0Ct73+GlmWu4EXgB7gVeCTsiynXv+oTwDf43Lgchh4f5RPfkeR3kZGo1FBcz537hwejwev14tWqxWVgfv372d6epr5+Xn6+vro6OgQRVBp6XdZlmltbRUdrKampigvL2d0dBSfzydKjxOJhGjCGw6HxdMuzQ1It6XTarUi22A2m5mcnOTuu+9mfHxcEJvC4TCbNm1iaGiIM2fOUF1dLaTmg8Eg09PTPPTQQ6IAq6WlRZS2p5vvvvbaayQSCXbv3i34HH19fdjtdtRqNX6/X/AV0q7U4OAgzc3NNDY2otfrkSQJo9FIMBgkEAhQWlrKzMwMoVCIe+65B7vdTk9PD52dnRw6dEi4VOnmPCqVStxMHo8Hl8vFwYMHWVhYEIVz6SpOrVZLNBoVO5s/+ZM/YdOmTULTEy4b/6uJw3R1dZFIJFi5ciV///d/T05ODg0NDdx11100NjayZcsWmpqaWLt2LR/84Ad5+OGHCYfDyLL8Fgn9NyKRSIhiN4fDgUKhEH1er4RrFYp62x2ELMsPX+XUtqu8/2vA165w/BxQf01X9XuASCRCIpFgbm4OnU6Hz+cTEfpYLMaWLVvo6uoS6bVAIMAvfvEL1q5dyz333CO6OL2ex6ahoUEUPjU1NfE///M/BINBMjIymJycFEGrNBkrMzMTlUqF3+8nHo9z5swZPvCBD4iFrdfrUavV5ObmsrCwQHV1NYcPH0av12M2m3G73YyMjKBUKtm+fbsQtnW73WRkZJCXl0cqlaK3t5e8vDwuXbrE/Pw8W7duJRwOU1JSQl9fHzfffDPDw8Ps27cPvV7P/Pw88Xhc6EGm4x42m42zZ8+ybt06Uf352c9+lueee46zZ88SDAaJRCLk5uZiMBj40z/9U44dO0ZtbS2ZmZk89dRT6PV6Ibef1qVYWlri6NGjJJNJQqEQo6OjeDweJiYmiMVi7N69m7m5OVH/4nQ6yc7OJhAIsLi4SDQaZW5ujg9+8IP88pe/JC8vj1dfffWKc37ixAnKy8tFb9HZ2Vkef/xxbrrpJuCyitfzzz+P1+sVndK3bt2KyWQiGAyi0+muup6ampqYnZ0V31+6GM3n873lveXl5aJdwdthmUl5nZBIJDAajajValGam5Y8t1gsHD9+nPz8fOGPplNmarWakydPihLkxx57TJQvp0VIT506xV133SVox2kxkVgsRnl5OQUFBXR2dtLf309VVRUbNmwQlO9UKiWChumO2ouLi3R0dIiMwNjYGCMjIxiNRjZu3EhXV5cIKm7evBmn04lOp8Ptdgu3Jl0ANTMzg91u5+LFi2i1Wvr7+4WPny7JvuWWW9Dr9USjUZRKpVCKSmsv3Hvvvdxxxx309vZSVVVFS0sLgNCZ+O///m8GBgZobGwU9RjpRjabNm2iq6uLrKwsvF4vL774oki7RiIRqqqqBBmsr69PuCvptGtNTQ0LCwsAoix9165d7Nu3j09/+tOsW7fuqnN+5MgRQXCTZRlZlkmlUuJ8+mGQbgd44sQJWltbaW1tRaPRMDg4+GvXlN/vJycnh/z8fIaHhykqKkKhULypiMtqtaLT6di8efM1rdNlA3GdYDAY+Na3vsWRI0c4fvy4eNpZLBai0Sg+nw+DwSAW9uzsrCD/qNVqgsGgIEbdcsstPPnkk4RCIRobG4nH4xw9ehSv1yu232lNgvRTc926dSI3PjIywo033ojNZsNms2GxWHjppZe49957Ra+HRCJBS0uLiIncf//9rFq1ijNnzmCz2UQTmZ6eHlpaWpienhbxiOzsbEKhkBCNTSQSLC4uUlxcTG1tLQUFBZSXlwvCkVqtFkI0aeWo9evXE41GefXVV3n22WfJyckRsQC/38/WrVtFYVcikeDFF1/k3//933n88cf5/ve/z3333UdWVhYOh4OCggIKCws5cOCAoF8rFAoKCwtZWFhgzZo1mM1mIfnvdDrp6OgQ2/J4PI7ZbKayspLt27ej1WqJxWL09fWRmZnJo48++qa5fu655/jud78rOl+lsztwuagqHA6LJkPnz59ncXFRdCMbGRkhOzubP/uzP2Pbtm28/PLLV11TJpOJkpISAoEACwsL1NfXi1hPurN4WuqvoaHhmtbpcrHWdcJHPvKRtxxLS5NbLBbh61ZWVjI/P/+mLEReXh4ul4uamhqcTieBQIA//uM/FjJriUQCvV4vnszpsuq8vDwWFhaEG1FaWorD4eDMmTOC/WexWCgpKSEUCvHMM89QXl4udBQmJye54YYbmJiY4NKlS/h8PnQ6nWBYqtVqDAYDAwMDrFmzhoWFBUZGRujr6xPFXpmZmaLnx8TEhFCnrq+vf1M8ITs7m76+PjGG1+ulq6sLt9vN0aNH6e3t5e6772b16tUUFRUJBuT+/fsZGxsTu440Y3PHjh1CebqoqIhTp04JJey0sXrwwQfxer10dnaKvhTpfp0DAwPU1tYKo61Q/P/P1uLiYj70oQ8xNjZGKBR6i0bHhz70IZ5//nkSiQT5+fmiYvS++y5zBYPBIKtWrRJMx/SOMDs7m8LCQpEyfTvCVGFhIV6vF6fTKRojZ2VlMTc3J/qAGI1G5ufn+da3vvUWQ3YlLO8gfoewuLhITU0NVqsVu91OS0sLBoOB2tpaVCoV1dXV+Hw+ent7OXr0KGazmQ0bNnDmzBmh2zg8PIzVahXUa0AIvaZJWeknlE6nw+VyCRWrNGX70KFDIuAoy7IIAKYXak5ODm63G4fDQSKRENoU6W17bm6u6LJ16623YjAYOH/+PEajEbPZjNVqFbqTly5doqGhgUAggMlkErURpaWl7Ny5k0Qigdvt5sUXX2R8fFxkRQYHB/nMZz7Dl770JV544QVkWSY7O5tNmzbxwAMPoNfrBYlKqVSK3qadnZ0sLCxw/vx5dDqdEM199NFHsdvt3HHHHdx+++2oVCpRYZubmyuYn9/5zneErkQ0GgUuay/ccsstjIyMkJubS2Fh4Vvm9sUXX+SBBx4Qr3NycsTvmZmZol/IF7/4RZFGLSwsJBKJ8JWvfOVNn3XhwoW3fP6nP/1pvF6vqB1RKBQsLi6i1WoxmUyijWMkEqGnp+fXFo+9Ecs7iN8hpMlON998M6dOnWJqaoqOjg42btwomrJs376dsbEx8cRsaGjg7NmznD59mmAwSHFxMWNjY+j1empra5mYmBC1FOmgWiKREE1vent7sdlsQkFqaWmJDRs2EI1GhZ+am5vLpk2bhOiqTqfDYDDg9XpRKpUYDAYCgQBTU1OC+Wgymejp6cFisbBmzRq+853vCDciJyeH6upqent76evrw2g0Cpr3/8fem8a3XZ7p/l8tlmVJlmzJkrw73h07zuLEZIcsLE1KgROWQKEdDj3Q6QY57acD7b9T6Mx0gE4Pc7rMoSwzQ0MhhA4QAiRASIDsmxMn8b7Lu2XLluVFtqzlvAjPPUkJEJbO6b/lfoNRvMjyT8/vee77ur7X5OQk7e3tRKNRHA4HJpOJTZs20dnZyUsvvSTOzkgkQk9PD0eOHAGgpqaGyclJvvrVr1JZWYnRaKSmpoaVK1dSW1vLu+++y9KlS2lpaaG1tZVgMChE6iVLlkiTVekiHA4Hp06doq6uDpfLJbqEV199leTkZL797W9Lhqpy265evVqyPf+wnn/++Y/8+8fHxzMzMyP+iX//93+npKTkfZ/3h2zSjIwM1q5di8FgEDu82oEmJSUxMDAgnzsxMSEL3MXU5wvEn0ipYJTW1lbS09PxeDzMzMzw1a9+Fa/XK2NPjUbDrFmz0Ov11NbWUl1dLWOw1NRUBgcHgbM4u9mzZ9PS0kJqaio6nU7Gpyo/UjWrRkdH5aJRUt1oNIrJZBIfxty5czGbzeTm5hKJRMjNzRVYjUajIRwOEw6HmZiYkMamyWQSUU5FRYXwK1Qj1WQykZmZybZt24R3cfXVV/PQQw+JOOzcTI2bb74Zs9lMOBwmKSmJN998k927d0vuRDgc5vHHH8doNPLAAw9I5saKFStob29n9+7d3HTTTfz0pz8lLi5OFriRkRFB6infghpjXnbZZRLDp9FoyMzMFHVkcnIyycnJ9PT0kJ6ezqFDh+jo6BDc3MctNX7W6XS43W4qKyv567/+6/d9nnpNnnjiCQYHB8nOziYSidDV1SUAXiXbt9lsBINB0tPTGRgYYGpqSnpYF1OfLxB/IjUwMIDBYOCWW27hN7/5DcuXL2f37t0cP36cr3zlK6xZs4ba2lqefvpprrnmGhwOB2azmYSEBGw2m4TBpqamir26urpaPq+3t5f4+HgBvXo8HlFwjo+PC0A3PT0dk8lEJBJBp9MRCASw2Wx4PB5yc3OFv7BmzRoxTblcLmZmZmhtbaW1tVWaZKq6urrIy8vDYDBw5swZ5syZI43ImZkZAcgUFBTw4osvygI1MDCATqfj2WefZdWqVbK45OXlAXD11VdzzTXXsHfvXnbs2IHX6yU1NVXyONauXUtnZyd1dXVkZmYSjUZ57rnnJNgmLi6OwsJCsrKyBNKjRol+v59IJILdbpcQXq1Wy+Dg4PvgwQrRd8UVV7B169ZPTK3W6XScOnWKsrIyed0/qMxmM5s2beLJJ59kw4YNuFwuWQgikYjA0/iJPwAAIABJREFUcgcHByWnQxG9o9HoRT+nz5O1/gTq4Ycf5t577+Xpp58mFApx/Phx3G43R44cYXp6mjvvvFPm2Yq2tHLlSvbs2YPZbJb+QU9PD4mJiRJn19fXRygUEs1DW1sbGo2GwsJCent7MRgMQlFS1CSlFeju7mZ8fJy4uDiKioro7+9neHiYNWvWnEfjbm1tJTs7G7vdzsjICDabDa1WK5kMhw4dYmpqShqgW7duxeVyiduwrq6OnJwc+vv7xcY9OTmJ0+nkxIkTBINBDh48SCgUEnu0Cp5R3IdQKER3dzcvv/wy3d3d6PV6rr/+etLT09m8eTPV1dV4PB7cbrfssNLS0sjMzJRJyejoqPRZlB9lYGCAoaEhCgsLJb0rGo2KjH3Hjh3v+1v6fD7a2tqIxWIyfp0/f/4F+wbnlhKstbe38+abbzI5OcmPfvSjj7x2VqxYwc0338zq1auZnJykqqqKLVu2oNVqJUMVzsYYTk5O4vP58Hg85xm1Pk/W+hOve++9F4CvfOUrNDY2UlxcTGZmJm63W7brjY2NeDweysrKBIumBDeqWVZSUiJ9hL6+PoqKisRboRx+VquVsbEx3G63jFSVNFeBURobG9HpdDKjn5iYwG63s3jxYpEE9/b2Eg6HxXtgNBoJBALEYjHi4+OJxWK4XC4uu+wyLr/8cq6//nqRIHs8HgYGBiQMOBKJEAqF6OzspK2tjYKCAuLi4uQYpc75J0+epL6+nm9/+9v80z/9E01NTQK8SUpK4vrrr+fKK6+ksLCQ5557TiA3bW1tkoHhdDqxWq3yejQ2NtLS0oJWqyU9PZ2EhASZBBkMBoqKisjIyMDhcHDZZZdRXl4u9u4LlVKout1utmzZwiOPPMLs2bM/9O9/3333iSkrOzub7OxsWlpaPvDzb775Zvm4tbWVX/7ylzQ0NDA9Pc3x48fp6uqio6NDRqYGg0GwAUlJSbhcrg/83n9Ynx8x/sRKCXNmzZpFfHy8wGBVF1rBak+fPo3T6WRgYACbzSaZkurCUurLlStXsnnzZjQaDWlpafh8PrKysujs7ESn04kRSwFcldw6NzdXUrGVd0MF3WZnZwteft26dTz44IMsXLiQFStWEA6HmZmZEfqUmsP7fD5uvfVW5s2bxyOPPEJfXx+BQIBZs2YJiNZsNuPxeKipqaGjo4P4+Hii0SjJycnEYjE0Gg3t7e3CXThz5gxf//rXSUpK4q233sJoNFJaWiocTL/fT01NjYiTpqenz1NbwllxlYKnjI6OMj4+TjAYlF6E2o67XC4ZG8LZRO1LL71UyFvKzv3KK68wd+5cjh8/TlZWFn19fdjtdr70pS9dUMNw8uRJli5dSl9fn1ixb7jhBm644YYPvEasVqv0bOx2O1qtFp/PR21tLW+99Za83oqCpf4mRqMRvV5/0SpK+HyB+JMsnU7H9u3bSUhIoLOzk5UrV+L1enG73YyNjTEyMkJqaqp4LBQhqLu7W44YwWBQeguZmZnSlJqamhJorWrsKapUUlISTqeTgoIC6UF4vV5GRkbwer1MTU0xd+5cnE4n2dnZtLa2kpmZSU5ODu3t7UxPT3P55Zej0WiYmpqShlgkEiEhIYGpqSlBsaujQXZ2NuPj42RlZZGZmUl3dzf19fWi3XC5XESjUQKBALNnz6axsZH09HRCoRDx8fG89NJL/OAHP+DUqVMkJCTQ3t5OT08PGo1GsiLMZjPT09NCxVKqz/j4eEZGRohGo+KmNBqNBINB4XKo19vlcrF48WKcTqdoCdRuKhqNypTHZrPx0ksvccUVV9Dc3IzRaLzg2FPVggULWLBgwUVdF7t27RLk/hVXXMHrr78uLtPm5ma2bt2K3+/HbDYTi8WYmZkRFatOp6O3t1d6Pxdbny8Qf2LV3t4uM/2hoSGZZrjdbmKxGE1NTaxZswaj0SgMh6mpKex2OxkZGVRVVVFWViaLgAqy6ezsxOl0yptgYGCAcDhMV1cXZWVlMjdPTk5mcnKSzMxMZr2Xap2WlkZbWxsvv/yycBa6u7u5/vrrOXPmDJFIBJPJhMfjYevWraxevVqOD1VVVaxZs0YuVnU8UupFpWtwu90sW7aMgoICamtreeedd+Q4NDAwwOjoKH19fSxcuJD29nbsdjvBYJCqqio2btzIwoULiUaj3HLLLezevRun03leyK9iO6hA3e7ubiYmJuRIpPJDVUbIvHnzRAtSW1srY87x8XEcDgfRaJTJyUkRPqnJhwoH2rZtG0uWLGHu3Ln09fVRWFjI/fffj8/n49e//vUnujYUpVphCKempjCbzUICV+h+NVGKj4+XI2g0GpXx58eJ5Pt8gfgTqXvuuQebzUYkEqGjo4M1a9aI7Fn1Ea699lr0ej3t7e1s2LCBqakpZs+efd40IS0tjaSkJHw+H5FIhOzsbLq7u7FYLOj1eiFhK9SZRqNhcnISrVbL2NgYoVAIi8XCzMwMZ86cIS4ujvz8fCoqKuju7ua5557DbDZz/PhxQbS/+OKL9PT0oNVqMRqNPProo2RmZlJWViaLUEZGBlarld7eXpEsK7CK2lHU1dWRn59PWVkZiYmJ2O12otEoWq1W8i4TEhJ46aWXWLVqFf/zf/5PnE6n0KMKCgpoaWkhPT2d7du3ExcXRzgcxufzodfrxeKscjnj4uIwGAy43W5MJhM5OTkUFRWRmZlJYWGhhBafPn2aaDRKamqqcBRuv/12PB4PTU1NwFkDVEpKCiaTCb/fT39/P3v37pVFvrKyUpqyn7TUMVLZ1I1Go4BrYrEYVqtVmr9K6anAxNFoVDQQ56pAP6o+XyD+H9bf/M3fYDabZVbtcDhYtGgRw8PDNDc3Y7PZSE9PZ3R0FIPBwL59+5iZmZE3gmq2RSIRysvL2b17N1arVYAo2dnZgq9TF4oSNvl8PrEt9/f343K56Ovrw+VykZKSwv79+5mensbpdHL06FFqa2u54oor0Gg05ObmEovF2LVrFytXruSuu+6ip6eH+vp6rrnmGt5++21ef/11enp6mJycZNGiRfT19WGxWM6D6s6ZM4eJiQmMRqNg2UZHR1m7di16vR6fz0d8fLwcM1Qs4LXXXovP52Pjxo0Eg0HWr1/PCy+8QFZWltxNrVYrXq+XuLg4gbkaDAays7Pp7+8XkVRGRgaFhYWUlpYyNDTEF7/4RWZmZuRMr3YIhw8fPs/g9NRTT7F582a2bNlCdXU1jY2NlJWVCWvSZDJRX18vMvmpqSnB9X9QzZ07l9OnT1/w33bt2sU111zDQw89RHV1NadOncJoNEoiWXx8PBMTExLGlJKSIv0so9EomL36+vrPexD/f6jbb7+dxMRERkdHGR0dxe1209PTw+WXXy4XVlJSElNTUwIwcbvd4np866232LhxIyMjI+zbt4+NGzdiMBiorq6WLWgoFBJb8enTp9m0aRPBYFC4joODg2KKqq6ulk5/XFwc9fX1WCwWPB4PeXl5bN68mT179nD99dfT0tJCaWkpTz75JAcOHJA3QGdnJ729vXzzm98UIrbNZuPMmTO43W7efPNNOjs7z7u7zZs3j5qaGpqamhgcHOQ3v/kNzzzzDAsXLiQcDtPb28tVV10l6VFOp5NAICDQmaGhIZxOJ6tWrcLv99PT00NSUhKNjY1Eo1EhhZtMJgoLC6W3ERcXR2lpKUuXLgUgNzcXnU7H1q1bueWWW0QDEY1GGR0dvaC2QUUeHj58mNdee42mpiaxc3d2drJgwQIyMjLwer0SOKzT6Vi+fLkEDwECxQ2Hw9xyyy2Sen5uqUDfHTt20NjYiFarJT4+Xl7LoaEhkVarxxRly+/3s3jxYlasWCE6iYutzxeI/+L61a9+hd/vZ+HChVRXV2M0GvF4PKSmphIKhWhoaMBoNGKz2RgbG6O8vBy/3y9NQpVPabfbee6552Ra8Pbbb3PJJZfIseHo0aPs2rWLBQsWMDo6yszMDEeOHBGcnaI1aTQa0tPTKS4uxufz0dvbK2ASRUWGsyEtwWCQnTt3YrPZ2LBhA8XFxezcuZPy8nJ++ctfkpyczP79+7FYLEKHVg7K2tpaDh/+T55xWloas2bNEjTd888/j9VqZfbs2fT09NDW1obNZiMUCvH73/+el156iWg0ype//GWKioooKysjFApx6tQpMSY1NTWdBwDu7OwUfYfRaGRkZASNRkN8fDzp6emYzWaOHj1KUVER77zzjvRNnnjiCVatWsWKFSvQ6/U0NTWJnuDcstvt0vtZu3YttbW1vP3228yZM4fOzk5aWlpoaWkhKytLHK1qJ2exWOjp6ZGQozVr1mC329Hr9ZSXl7N06VI2bNgg3Il/+qd/ApBxZSgUkvHvzMyMmPng7FhacUeNRiPz5s0jNTWViooKtFota9deEOVywfpcB/FfWD/4wQ9obm7G6/UK2UlJar1eL5FIBJvNRiAQwO12k5SUREtLi0iNXS4Xg4ODtLW1CbHJaDRiMBgkF/PMmTMsWLAAm81Gbm6ujPEqKio4evQomZmZMsefnp6msLCQsrIynE4nX/rSl0hOTubdd99lw4YNwNltb1FRETabjezsbJKSknjqqaf4zW9+Q0FBAbfddht+v5/U1FQ6OztxOBwkJCQwNjZGSkoKdrsdo9HIqVOn5HXQaDQsWbIEl8slEwF1drbZbOTn59PT0yNKT5Ub4ff7OXToEP/7f/9v/vEf/1Fs0+p1eOmllwQ5p3IlzGazHLfS0tJEwLVo0SJMJpOg7QoKCli2bBnLli1j1qxZHD58mH379hEMBrnmmmsoLy/n/vvvv+DfNTU1lZKSEpYuXcrdd99NKBQiLS1NADRHjhyhp6eH5ORk0tPTBeJzbgJaQUEB+fn5DA4O0tfXR1ZWFhMTE3R1dbFjxw5SUlIoKChgZGSEsbExIpEI09PTkqIeiUREgq6Ci9Uil5SUxMzMDKOjo2RkZHwomeoPS/fAAw98gkv9v64ef/zxB+66667/10/jU9WPf/xjMesEg0Hi4uLo7+8XolRiYiIZGRnMmTOHcDgsiLb8/Hx27drFzp07KS0tZeHChezYsUOgsupNd/ToUdk29/T00NPTg8ViobW1VWbs+fn5NDU14fP58Pv9wmsYHR3l6quvFo6Ay+WipqZG+hQjIyNygak7eHd3N2+//TbRaJTly5cze/Zs0fl3dHQwd+5cMjMz0Wq1pKSksGPHDgwGg0iWKysrZVz4pS99iebmZpYtW0ZTU5PcZVWvQwUDqeQqlUva3NzMrbfeytKlS4mLi2NiYoJ9+/YJoKarq0uAMxaLBZPJhF6vJxqNUlBQgF6vF6DK9PQ0fX19HDp0CIPBQHJyMitWrCAYDHLs2DG6urpEQfnTn/70PKHSuTUxMUFOTg4lJSWUlpZSUFDA448/LpkixcXFdHV1UVRURGJiItdee618rdVq5V//9V9lZzU4OMiePXs4c+YMgUAArVYr+pJYLCap7NPT0wIyNplMXH/99dxxxx0UFxezePFi7HY7FouFUChEMBikp6eHFStWnPe8f/KTn/Q98MADj1/od/r8iPFHrL/7u78TVNjw8DBLliyRZl0gEGBwcFDuCqWlpcJTPHToED6fj8svvxy73c709DSHDh3iwIEDDA0NUVRUxMTEBOFwWEREDoeDAwcOkJ2dLQi5yspKwaA3NDTwxS9+UQAvRUVFeDwe8vPz2bt3L3fddRe5ublUVVWxcOFCWlpaKCws5Pe//z3BYJDKykqqq6t58skn2bRpE36/n9/+9rcsWrSIiooKFi9eTGdnJ0NDQ7zyyiv88Ic/xGQy0draSmdnp2x/1Zt8enpaeBWXXHIJXV1d3H///bzyyivodDri4uJELKXuli6Xi8LCQnw+HydPnuTVV18lGo2yYcMGfvWrswzk0dFRUlNT5Wh1+vRprFYrWq0Wj8dDYWEhLpeLzs5OWUhVSLHL5RJ+hTKU6XQ6Xn/9dVJTUwXC+0GlfBx2u52amhpZSEpKSkQPsXjxYrZt2/a+3EyF0A+Hw+zbt4+Ojg5Rt6qpjwotstvtFBQUSNxgMBhEo9Gwbt06Fi5cyMqVK2WU7HA4cDgcjIyMsGjRBdXUH1qfLxB/pLrvvvuYmppiaGiInJwcdDodo6Oj1NfXU1BQIFtIZazS6XQsXryYI0eOiA+gurqavr4+rr32WgGoKvaCYk/CWRK28lAMDw8TjUbJz88nEonw5ptvsmDBAnQ6HVlZWZw4cUL8DyaTiVAoRFVVlRidLr30UubOnYtGo2Hfvn0UFBTQ1NTEO++8QyAQIBgM8vzzz3PjjTeSlpbGj3/8Yx599FGys7OZmprihhtuEEl0VlYWW7duJTk5ma6uLgwGA3PmzGFoaEiYF+r3Vz2U2267TbIptVote/fupbm5WRp5paWlnDp1ihUrVkgjsrq6WmCzWq1WFmSV+K12aoDkUahEMxU1ODY2Ji7MWCzG5s2bCYfDDA8PYzKZJPHKbrdz5ZVXEovF8Pv952VfnmuuOnfisWbNGl555RWCwSDZ2dmsXr2aiYkJfvKTn6DT6di7dy8Gg0EUnBMTExJBGIlEiEajRKNR0ZvodDrZUaSkpMg0a2BggF27dpGVlUV5efkHEq0/Tn2+QHzGdc8990jm5szMDL29vXJXq6urY3h4GIPBgNVqpaioiPHxcRYsWMDdd9/NlVdeKQYit9uN0WgUNJxyEH7hC1+gra2NYDAoRGZldqqtraWkpISUlBROnz4tFnA1Kmxvb8dqtdLa2kooFBJOgN1u55e//CX33HMPer2e8fFx8vLyuO6665g1axa/+93vsFqtRKNR5s6dy5EjRwQek5ubyze/+U2ef/55UWIuW7YMrVaL1+slMTGR+fPnMzw8jNFoFIDJuUDVxMREPB4Pe/bsoaioiKSkJIHHOJ1OeTMkJSUxODgo6eLqqKEanENDQ5KrOXv2bGpqarBYLMDZSUFqaqpQnRYtWsTp06clyHb+/PlEo1EOHjyIXq8XiXQwGBQYsF5/9u2ikr98Pp9MliwWizQyPR4POTk5ck3MmjWL73znO7z44ouyM1DBP6dPnxYJfHt7uxwXVFq66i2oyYM6VkxMTJCdnS0oACXk6urqumje5MXU5z2Iz7AeeeQRnE4no6OjZGZmSmq0w+HA6/VSWFgo4azqrtjR0SFgF2WRPnPmDKmpqfT29sqo81wF4G233YbBYMDr9Qpi3eVykZ+fTywWIyEhQShCChyiGn8qLj49PZ2enh4SEhKYnp5mcnKS+vp6XnvtNXbu3ElnZye5ublkZWWxbNkyMjMzKS4u5pJLLpHszLa2Nrq6uiSA59JLL0Wr1cqW9+DBg0xPT5Oamio5FWazmaSkJBlZKlbFSy+9RHt7O8eOHWNkZES4BosWLeKdd97h1KlTzJ8/H5fLxYkTJyguLmb+/Pns2bNHILkKJqPoVj6fj5mZGex2O7NmzSIajVJcXIzb7ZYd09TUFBaLRWIAjUYjra2t4kjVarUiXVaTgqmpKXG6KuGZXq/n8OHD1NfXY7PZmDVr1vuuj5SUFAYHBxkbG6OpqUmauWoMGwwGhUqtbgDKOavYFlqtVo5cd911l2AKVeZpX18fmzZt+ljX7V9cD+Lhhx+mq6vrE0taP0l973vfw+VyiQ8AzuYgqmi9q6++mo6ODlJTU2lqasJqtcoZ+8SJE6SmpopP4IorrhBS0ujoKLFYTPIuBgcHaW9vl96D2WwWHkFKSoqoBbOzszEajbS3t9PU1ERcXBwDAwMiflKsBSXJzcnJEcdkZmYmb7/9NkePHmXp0qV87WtfE+OUygq98cYbKSgooLOzk6effpojR45QWFgoNmKdTkdaWhqjo6PodDpxeHq9Xvx+P319fSxZsoS4uDh0Oh3f+ta3+NGPfkQkEuHkyZPyuFarZfXq1QQCAZqamigsLKSkpIRTp04Ju1JxINX0AM7CYA0GAy6Xi5ycnPNyM7RarZjQHA6HpHubzWYOHDiAyWQiMTGRjo4OaSxGo1E5ghiNRrm7T0xMiCHNYrFw8OBBWlpaePDBB3n99dfZv3+/NAWVi7a6uhqDwUBTUxPj4+O0tbXhdrsl9NhgMAigR0nEPR6PLFiJiYl8+ctfloDnrq4u+vv7WbZsGWNjYyKt/yzqz5IHcfToUZ5//nk6OztJSUmhqqpKmk5/rPrOd74jeZS5ubl0dHRQUlJCb28v09PTEhTT2dlJLBbjZz/7mXztV77yFaLRKI2NjVxyySUSyNvZ2YnZbBZ+gmIOTk9Pk5SURGZmJkNDQ7IIqTN6b2+vZEqq5OxoNEpOTg6hUAiz2czevXtZuHCh3H3XrFnDvn37aGpqYv369SQmJmI2m3n99deZnJzkjjvuIDU1FaPRSG9vLx0dHZSVlXHy5El27NiBx+Ph/vvvx2az8e6772K1WvF4PGi1Wnp6epg9ezbDw8MEAgEikQgejwebzcaqVau48847iUajbNmyhePHjwvaLi8vT44Uq1evprW1laSkJN544w3BvOl0OjwejyglU1NTxaRms9nIycnBZrNhtVoZGRmR4OP58+eTkZEh8X8Oh4POzk6OHDnC0NAQNptNKN+vv/66fA+13bfZbPT09MgxpKioiHA4zJw5c9i1axdpaWncfPPNxMfHS7N07dq1hEIh3n77bQYGBkTzYrFYsFqtjI6OMjw8LLu6hIQE8vLyRAkbi8UIhULk5eURiUTw+XzceeedjI6OcvjwYcHsqUTvjIyM9wF0L1QfxoP4szxiTE5OcuWVVwqtSDX0Lr/88j/Kc/zJT36Cx+Ohp6eH0tJSiouLaW5uxmAwcNNNN4kbUvkBkpKSzjsnPvvssyQmJjJnzhzMZjM5OTn09fURHx/P4OCgJE6Pj49jt9tla3tudqOCshw9epR169ZJJN3ExIScY5Uzcc6cOYRCIc6cOUM0GmVmZobExEROnz5NUlISer2ewsJCcnNzSU1NpaCggKqqKqxWKy0tLXR0dLB9+3YikQgZGRk4nU7a29vRarUS/abuduXl5eh0OnFzJiYmcujQIYaGhojFYjQ2NtLR0UFhYSHz5s0TrUV6ejr9/f2MjY1x7Ngxli5dKqSqoaEhrFar9AcaGhqAs70MZb9OSUkhLS1NEsJUH0dxHBobG/F6vRw9epS6ujrKysrYvn078+bNo6+vj0gkIinoGo2GlJQUwfapsa8aOUajUZGo19bWSr/kuuuuY/v27TzzzDNoNBpOnz7Nli1baG5ulliDpUuXUlpaytTUFHq9HofDgd/vFyfsuY/Pnj2bxMREuru7hZ0xMDDA1772NQ4fPsyhQ4f46le/SigUYnh4mKVLl3L99ddfzPX7l3XEaGtrIzExkaVLl8o2rbOzk82bNzMxMcE3vvENiouLL2p1vZhSFGa9Xk9FRQX19fXk5+fT2dmJx+Ohvr6esrIyvv/97wO8jwug7kgZGRl85zvfed/3//a3vy2GKqPRyODgIBkZGRiNRhobGzEajSL6mTdvHs888wzf/OY32b9/vyDGEhISZBvd1dVFRUUFNpuN3bt3k5GRgcfjIRaL0dvby6lTp6iqqpJR2l133UVeXh7hcJjq6mrmzJnDokWLaGhowOFwMHfuXI4dO4ZGo6Guro5oNIrZbGbHjh1ChA6Hw4yPjzMwMMDk5CTJycnY7XZRQP7jP/4jTqeT2267jSuvvBKv18v69et57bXXJGHMYrEwNjYmb7bJyUn6+/vFY6IEQ4mJibJAKJt8dXW1HFnURCIcDjM0NIROp+Pdd989b4FZsmQJx48fZ3BwkNTUVDIzMyU4SPV/9Hq9BACbTCZ6e3sJhUIUFhaSnZ3Nb3/7W7Zt20Z5eTkOh4O6ujq8Xi9Go1GOncPDw9x66600NTXR1NTEm2++yfDwsDSQH3jgAWFLNjQ0MDY2xvj4OLfffjtxcXGMj48TjUZZtGgRCQkJbNmyheLiYvR6Pa2trVRUVEiv65PUn+UCUVhYiN/vZ2ZmhoGBAfLy8picnGTx4sV4vV6+973vYbfbP7Ofp5p8qq8QjUYJh8MEAgFeeOEF4TOo+tWvfsWXvvQl+f+XXnrpQ7+/6qX81V/9lQBRhoaGSE5Oxu12U1tbKyYhtbVWcmolM46Pj6ejo4P09HTa29upqakR6IjP5yM1NZXly5fjcDjYt28fDQ0NvPHGG5LKFAqF+OlPf3peboZqUKoFUp3lFWr+sssuk6ao1+tlfHyc3t5eHA4HOTk5Evg7MTFBY2MjBoNBFJrXXXcdBoOBq6++ms7OTvmehw8fFhScSqhSjdyJiQnxXKSnp4s8XW3LldhpZGRE0sXV76eQ+oODg8LdDAaDrFixgpMnT0qGh7LYq9e5u7sbrVZLW1ubOEOzsrIkSTw9PZ0FCxZw/PhxWlpaBNricrk4cOAAExMT1NfX09vby8DAAP39/edRqO+66y58Ph+vvfaapIEvXLiQjRs3Ul1dLYRxrVbLTTfdRCAQOA8huHLlyvdh8z9O/VkuEE1NTSQnJ2O1WjEajVRVVZGVlSVd6LVr1zI4OMi1117Lyy+//NHf8CNqfHycxMREkpOT2bdvH4sWLcJisTBnzhz6+/sxGAznGWTefPPNT/Rzfvvb38rHDz/8MN3d3RK0azabsdvtko0Zi8UYGhqS/IXx8XESEhKoqqqSsWJ/fz+5ubnS1BoeHiY/P5977rmHUCjE5s2bBRpz5MgR6uvrJaszMzMTp9NJV1cXvb292Gw24uLixBfR19cn41clLy4vL+fRRx+lr6+P8fFx5s6dK4i5BQsWcODAAeLj4/H5fFRXV/PXf/3X1NTUkJycLH0kv9/PxMSEjEpTUlIkz1Sr1ZKamorD4aCjo4OpqSnxuMRiMVGsGo1GQdkpIZbyPCjviIoK6OzslGlDeno6TqeT3t5e4V9YrVYWLVokkJvJyUn0ej3Hjx8Xgdbg4KAQp8xmsyxOKuYTFwIvAAAgAElEQVTw6NGjNDQ0kJiY+D4itooXUO5e5Xz9/ve/z9/+7d8KlXvRokX09/dzzTXX0NDQIFi54uLiT3StqfqzXCBqa2vp6OjAbDaTn5+P0WjkzJkz0pX2+/1oNJqLzgb4qEpKSiIUCmG323E6nTidTrxer8TRqRHUZ1mKY/k3f/M3uN1uGhsbxSVoMBgYHh7GYrHQ0dEhpqmUlBR8Ph/FxcUSfGOz2ZienmZ8fJzjx4+zbds2li9fzuWXX84tt9yCTqfj6NGjpKamcvDgQQnF0el06PV6SYOKRCJMTU2RlJSEx+MBzk5gFF5fsSHcbjdOp5Ph4WFCoRA+nw+fz0dKSgplZWUEg0H6+vqorKzEZrNJstiLL75IOBwWmpR6IyrkPyDxch0dHQKjUWd9NYVRJqaCggIKCgo4efKkcDGTk5PlqFhTU0NxcTFGoxGz2YzT6ZSGoZqwKBhwIBBg/vz5nDx5koyMDI4ePYrZbBaFpto1xcXFYbPZRCGpjjdql6lYE+eWTqcTBWl1dTVTU1Ns27btvM/Ztm0ber2e7u5u5syZI7wIjUbzkWlcH1V/lgtEVVUVeXl5lJWV0dzcLOwDpSS8/PLL2bBhA7/4xS8+9c+644475I0xNjZGcXGxzLYVfl0db/4Y5fP5CIfDOJ1O/H4/gUAAk8kkdOapqSmR6Coa0vj4OHq9nvT0dFasWMHRo0dFBBQMBjlx4gStra3Ex8ezZs0a0SMMDg4yMTEh3MpgMCjnaUCak6FQiMrKSkncXrBgAampqeJ6VHTlkZERampqeO2116Qpq9PpWLNmDcXFxbS0tJCRkSGIuLS0NIaGhkRjoioUCsmbv6OjQxiTCpuntASxWIycnByxZIdCIdxuNwaDgfb2dtlt9fb2SgpYIBCgp6cHp9PJgQMHyM/PR6/XMzIyQiAQICcnh56eHjIzM7n11ls5fvw4ExMTsjgrGK7ShsTHx8vCPDQ0RE1Njexwpqenqaio4Fvf+pY0In/xi1+wcOFCbrvtNu67774LXgMqwu+RRx6hrq5OXLFKzPZp6s9ugXjllVfkvBoOhykrKxO+QkFBAf39/TgcDlJTUy8qm/CjasOGDfT392O329m3bx9ZWVl0d3dLt1uNIcPhMFNTU5w5c4b/9b/+16f/Rd8rJQRSyLNYLEZcXJw0JrOzs/H7/YyMjGA0GuV5ZGVlSQL3HXfcQUNDA42NjVx22WUiH+7t7aWrq4v169cTCoXo7+/n8OHDIthR5iflnUhMTBSdw4kTJ8jNzWVkZITa2lpOnTolMm5FzrJYLMLM7OjooLa2Vpynhw4dIj09XVShylgWjUYFuhIMBs9LkVIJX+Pj45jNZoxGo5i11BtaqTKTk5Pl2KnRaGSyMDU1JTukhoYGKioqpD+hUrNVpqf6+5aXl4sGxOv1Mjg4KOE1oVBIJjpOpxOTySQGNPW3UtoHpd4cHh4mMTERjUbD97//fX7wgx/IIvBhtWrVKlk4n3/+eQYHBz+1qvIjFwiNRpMFbAZSgSjweCwW+4VGo7EDW4FZQAdwUywWG3nva34AfA2IAHfHYrE33nt8IfAUkADsAO6JfcZCDJvNxsaNG+nu7mZkZITVq1eTn58vHgUlcCkoKLhggO7HqYceegifz4fZbBZJb11dnQBPh4eH0ev1FBcXy5Zf3W0/q1INKrPZjNlsliaVYkuqJlx3dzcul0s8IWqLO2fOHJqampg/fz7Z2dmSaFVfX09JSQlWq1XAKc8++6zsVLRa7Xkx9jqdTsJ3FVH6xRdfRKfTkZeXx69//Wsxca1evZrq6moSExNZtWoVP//5zykrKxNmhcoDNZvNPPbYY0xNTQFnDU3JyckMDQ0RDofR6/VC5S4uLqauro6RkRFJs46Pj8dqtZKWlkZCQoKoLJWbVmWhqkTxuro6CdVRITper5eSkhIB/KalpeH3+4H/ZFqMjo7ywgsv0NbWJug+q9WK2WxmwYIFdHR0CDm8oqKCvXv3Ul5ejtvtZsGCBeI+HR8fp7Gx8Tyeg9VqvajFQV0LBw4coLGxkcOHD7Ns2TKcTqdkgXySupgdRBj4XiwWO6HRaBKBKo1Gswu4Hdgdi8Ue0mg09wH3AfdqNJpS4GagDEgH3tJoNEWxWCwCPArcBRzm7ALxBWDnJ372F6ihoSHy8vJYtWoVAwMDjI+PEwgE2LdvH3l5eeh0Oqqqqj5182bTpk0UFRXx6quvcs0119DZ2Uk4HBZVo8fjIRKJoNFoSEpKYt68eTKm/CxLEaMAAZL6/X6Gh4dxuVxEIhEcDgdlZWV0d3cLK8Hn83HkyBGqq6sllObBBx+UKUV5ebnkUjY0NAgI9eTJkyQlJWE2m9FoNEKnVlLg2bNns23bNtFidHR08NRTT3H11Vdz8uRJfv7znzMyMsLGjRu5//778Xq9fOMb3+CBBx6Q6cL+/fu5/fbbOXjwoEwHVCBtOBzmqquuYvv27ZjNZiKRCGlpafJv5x53VD8hJSWFiooKSR8LBoP09/fT0dGB1+uVfkRiYiK1tbWMjY0J+XlycpKBgQFyc3PlTa7yK4xGI3V1dYyNjdHT0yPHnKKiItLS0iRnJBAISB9k7969MrUxGo1kZ2fT1NREV1cX3d3dErysFuGPc//cuXMn/+f//B/a29uJi4ujt7f3Uy0OcBELRCwW6wP63vt4TKPR1AMZwLXAqvc+7bfAO8C97z3+XCwWmwbaNRpNC3CJRqPpAKyxWOwQgEaj2Qxcx2e8QGzYsIEXXnhB5r4q7t3hcNDX18fy5cs5efIkTzzxBHfeeecn+hnr1q0jMTGRkpISZs2axcjIiOQQ9Pb2kpeXR3Z2No2NjYyPj/P6669z0003EYvFWLp0Kbt37/5YVJ8PKzXOUvg65WNQY9ZoNIpGoxFeYXx8vDTv0tPTcbvd2Gw2SktL+Zd/+RcR6GRnZ5OYmMjAwABer5eDBw8KcHVkZISEhATsdrvcwZWfwGAwsGrVKg4ePMiSJUsE13b8+HFyc3NpaGjgwQcfJCcnh//+3/87jz32GPPnz8dms2E2mzEYDGRlZXHq1Clee+01CR2Oj4+XcF+/3y8j3YyMDFJSUhgbGxM4jtFoJCcnh0gkwtq1ayktLSUnJ4ecnBwJ+XnllVd4+umnaWpqwuPxCBlcNXADgQCTk5PyvdVCrPBter0ej8eDxWKRnWJubi5paWkkJyfLDjYcDkv/Ri0wyoeicji//vWvs3nzZhYuXEggEECj0VBbWyu/o4oDuPXWW3nmmWfedw0cPXqUPXv28Oyzz4qfRDVwP/X19XE+WaPRzAIWAEcA93uLB7FYrE+j0ai4ngzO7hBUdb/32Mx7H//h4xf6OXdxdqdBdnb2x3mKAFx//fXcdtttpKWlccMNN1BTU8P4+DiLFi3ixIkTXHLJJZ+4afjiiy+Sn5/P5OQkTU1NIpSJxWKSUlVTU8PGjRvp6+tDr9djNpt5+eWXWbduHbt27aKoqIh3332XHTt28PDDD3+i56FKo9EQFxcnngS9Xi+KP9WL8Hq9OJ1OwbOr44G6kxqNRvbv3y8hMVlZWQwPD9PY2IjZbObf/u3f5LgSFxdHKBQiISEBrVYrzEMVMqNGrCqjIj8/XwRLJ0+eFL3Efffdx7x584iPj+fZZ5+VaYTKl9i9e7fkfJhMJgKBAElJSYyOjtLW1kZeXh5er5ekpCRqamr44he/SHNzs4QG63Q6brjhBvHDnD59mtWrV1NQUIDRaOTGG2/kqquuoqGhgccee0wSt9S4NDc3l6mpKQYHB3E4HJJqXllZSTgcpq+vT3YZquGblpZGJBKhsbGR2bNns3btWsn0GBkZEf2ICgouKiqSiYdKV+/r6xPatiJMnZvMdemll5KTk8PTTz8tj11yySXs3LkTs9mMw+GQRVKFDH+auugFQqPRWIAXgE2xWCzwIWz9C/1D7EMef/+DsdjjwONw1otxsc/x3Prd734nH6vF4OjRo3i9Xtrb2z/RAvGzn/2Mqakprr32Wnbu3El3d7fQgltbW9FoNIyOjgq5x2q10t/fT05OjvAQ8/PzaW9vJxAIYLfb+Yd/+IeLymD8oFIdcK/XS3Z2NsFgkMHBQZxOp8iE4T+hpkp6nZSUxPDwMIODgwwNDZGQkEBxcbG4COvq6ujv76epqUnOxDqdDo1GI29A5T41Go04HA5RaqoQHvUGUxqElStX8u6775KUlERZWZm8DuocX1xcTENDA2lpaWJEO3caoXZE6syuGoOjo6N4vV6uuuoqurq65E194sQJioqKcDgcpKWl0dDQQE5OjhzzjEYjixcvZv78+dTV1dHR0cETTzwhuPuxsTE8Hg86nY7c3Fzy8vIYGxuTdDOdTkdbW5sE8PT09OD1eikrK2NwcJDe3l6uvPJKhoaGZJc0b948hoeHee211/jGN76B3+/ngQceoLm5mVgsRiAQEPn8j370I/bs2cPBgweBs4ntNpvtgn2sWCwmx6SkpKTPbKx+UQuERqOJ4+zi8EwsFnvxvYcHNBpN2nu7hzTA+97j3UDWOV+eCfS+93jmBR7/L6tLLrlEAlU/bqkMiJGREXbv3i2htdPT0+JWVG/6cDjMoUOHmDt3LrFYTOzf27dvZ926dfz93/89AEeOHKGtre1T/U5Kgj04OMgll1zC8ePHBWs3OjpKKBSipKRETFLK3pyWlsaKFSv4j//4DxITEwUpp8xgR44cYXx8HK1WS3JyMsPDw9L0U2ftwcFBWVTUrkGn00mGxfj4uKg4VYN44cKFokZUvo9wOCxGs4aGBt566y1CoZBMC8bGxuSoobIu3G43drud06dPS6qYxWKR7Iz09HSqqqpE8NTb24vT6eSOO+5432vo9/spLy8nKyuLjIwMnnzySdlpJSYmEovFGBsbE5L0ggULmJ6epqqqinA4zOrVqwF46623JHOjra2NiooKamtrqaysxGq1cvz4cVJTUzl27Bh+v5/f/e533H777Xz/+9/n+eefZ3R0VHZyKt7w2muvFX3E+vXr+d73vnfB66C+vp7S0lK6u7tpaGjA6/Ve8PM+bl3MFEMD/CtQH4vFHjnnn7YDfwU89N5/Xz7n8Wc1Gs0jnG1SFgJHY7FYRKPRjGk0miWcPaJ8FfjVZ/Jb/JHroYceYv78+UxMTNDf349GoxHi8szMDH6/X1R4gMzV9Xo9c+fO5cCBAwKjVR15gIGBAW655ZZP/LzWrVvHsmXL6O7uxuv1cuLECTH3hMNhyU0YGhrCZDIxMjJCQUEBDocDn88ncuihoSHGxsY4fPgwWq2W48ePo9PpAOTcr1SSSv+vmmdTU1MS5qt8DA6HQ8Z64XBYaEgJCQlYLBb5//T0dLRaLd3d3ZIdWVVVJTyLyclJpqen0ev1oltQitTMzExOnDghuyGLxSJnb+VNqaio4MiRI+9DyP9hqWay0WikpKSEu+++m507d+L3+0UNqY4B4+PjYtfPyMjAYDDg9/slX6O/v5+Wlhays7NJT0+nsrKS+vp64uLiSE5Opq+vj9OnTzM8PMzu3btxOBysXLmSO++8E4vFQnNzs4QSK0K2aqh/0OIAZ+X+//Ef/wEgfY/Poj7S7q3RaFYA+4AznB1zAvyQs2/y54FsoBO4MRaLDb/3Nf8fcAdnJyCbYrHYzvceX8R/jjl3At/5qDHnJ7F7f1b19a9/XUZ/6thgsVhITU3F6/Wi0WgIhUI4nU6x4iqNQHJysvgLpqamcLlcYmbavXv3Z/L8br75ZiorKxkbG+PVV18VcMjIyIhIolUYjoKoKBFRfn4+LpeL/fv3i8NRIeVUB91ms0leg8lkIj09XT4PzvY/wuEwoVCIQCBAbm4uTqeT5ORk0SCofkhTUxOZmZnikExKSiIvL0+OEceOHUOn08lipiLxlGIyFotJR17BWJTT1eVykZGRIb0RONtHmZ6epru7my1btnzo6+j3+6WZG41GBf6rLPkqtFglmiuq05w5c4QMNjo6ysmTJ4lGo3KE3bt3L8XFxZSUlAhOUDVbt27dKnqL+fPns2nTJpxOJw6Hg2AwSHd3N6+88oqkeZ3r3blQpaSkSP/JYrGQkZHxkQujqg+ze1/MFGM/F+4fAFywFR+LxX4K/PQCjx8H5nzUz/x/Xd/97nfR6/Vyx+jo6CAcDuNyuURDHw6HcTgcoo0PBoNMTk7KG0OdCb1eL+np6XKn/SzUbarU9GL+/Pls375dIt+Sk5NlLKlEQgaDgWg0KqPOQCAgtOfExEQRWSnu4dTUFJOTkzLCBOQxjUYj2/2EhAQCgQBWq1VweSqjEpARb1tbG42NjeK0DAaDDA8Piw3b7XYLkt5isYgqVLlxFcEpLi4Ol8vFvn370Gq1uN1uzGazHCGsVismk4n169fT2tp6wTyLP6xoNCqaDkAI3T/84Q9pbm5m/fr1bN26lddff51Tp05JYG5GRgYWi0UmWmNjY8KjaG5uxul08txzz8nPUYE6r732mmgqJiYmaGlp4e6778ZkMpGamorFYhFB15YtWzCZTB+6QKiMj0gkgt/vlz7J8uXLOXDgwCe+vuDPFBjzaevee+8lLS2NEydOSKdcuT+VkzIrK0si4ZTtubW1lZKSEhmljY+Pi6swIyMDvV4v/YfPoh588EFcLhf9/f309PRw4sQJoTgpWKtyIKq7rclkIhwOSyRbUlKS9AkUJDUSiTA0NERfX58sesB5WgMFMSkoKBBXaTgcFgGSGutlZGRQVFREKBRi7969jI6OYjQacbvdxMXFkZOTw+DgoJiU+vv7xUDl8/lwOBwkJycLom3OnDkSpgtn3xyqoWk0GomLi2NychK73c6jjz560a+l1+uVXaDNZpOwYIfDQX5+vnze+vXraW9vp6SkhHA4fJ51/4477pD4vZ///OfiPj23HnnkEUZGRti/fz9Go5GOjg5GRkYYHR1Fr9eTnJyMzWYT6E1LSwtXX301g4ODQhk7t8rLy4WPqcazSrxWXl7O3r17P/J3/1Q7iL/EGhsbo7W1FTi7VVXhND6fDzgLajWbzUxMTAjxaXJykgULFkiE3sDAgKRAKzen0vp/VlVYWEhVVZW8oQsKCgRRp1Bv6twfDoeFHqV4C52dnTJqi0ajpKeny5RgcnKS+Ph4ee4KWqNYD0okpXgLAwMDeDweMUepHofJZJIzfFFREV1dXUxPTxMMBiWZKisri/b2dhwOB8PDwyIfDwQCQsRKTEzE7XYLNMZgMGAymejv7ycrK4vs7GwKCwvFv1FfX/+xXkvlflSlgmaA8xYIt9stCeR/eFS8/fbbeeONNwQ8e6Eb265du9iwYQPl5eXU1NSQmZmJ1Wplenqa/v5+GaGmpaXJwlxYWHhehsa5pfiWGRkZlJSU4PF4JILxs6jPF4g/qC9/+ctoNBpcLpd01y0Wi+RdqjOi0uB3dXXJXW1sbIyhoSHS09OlFxCLxViyZAltbW0fGtz6Saq5uZnLL7+ctrY2ZmZm6O/vF3GOTqcTbF1eXp5ctAkJCdTU1MhFPzQ0xNTUFCaTibGxMbkLp6amSpQ8nL2zDw8PC/NSTTMU5FWdy91uN6mpqSQkJAjxSfVh8vPzSUhIwOPxEB8fT0lJCXa7HZ1OJzzN2bNn097ejt/vl9dfsTYSEhIktDghIeF9Ss7KykoikQg7duz41Mh3tQj9YX7FvffeS19f3wWdwJdeeind3d0cPnyYxMRE0ZWcW0NDQzz22GP83d/9HTabjcOHD+P3+zEYDFRUVJCcnExubq4g/wD++Z//+YLPMS4uTno5Kk3tiiuu4Lvf/e6n+t3Prc8XiHPqxhtvFBAqIJ13tTVXPgZFi25rayMrK4upqSkBkiQnJ1NaWkpjYyOnT59mcHBQzs8Wi4V/+Id/wGKxfGzy8IVKCYBCoRDXXHMNv/zlL0V6PDo6KgIdZUtOT09nenqa6upq9uzZIzoJFYHndDqJRCIiG1eNO0CmMMp8pNgRdrtdnJiAXNSFhYWS1xEIBGQxTUlJISMjg66uLhkLq7FeT0+PLBaKdaEEUikpKZw4cUIWOrUAajQaNBqNpKR/4QtfoLKy8kOt/P/yL//Ct771rQ99bUOhEPn5+eeBfuDshCotLe0Djy/hcJglS5awY8cObrnlFpYsWXLeMSM3N5eZmRnefPNNfvzjH9Pd3U19fT0bN24E4O2336agoAA4a5Z74YUXPhAbp9FoKC8vZ/Xq1ZSXlzMzMyNW+8+q/uIXiNtuu01GaU6nU5piitUYDAZFzRcKhYTtqJp0VVVV2O12QqEQy5cvF05jYmIiBoOB+vp62WL7/X66urqYmpriG9/4hkwGzGYzJ0+epKWlhZKSEoGlLly4kPj4eDEenbvVHRkZ4dvf/jYnT55kz549DA0Niduxv7+faDRKfHw8WVlZJCcnyx1NfU4wGGTVqlXSRPV4PGJHzs/PF8Crchqq8WlCQgIGg4GhoSFmzZpFY2MjgUCA9PR0OXqpnE1A5N86nU5yKQDhcpjNZuEiqOAYpS1REwObzUZ9fT1TU1PiBNXr9bIw+Hw+PB4Pb731FitWrGDx4sUfihO8GHWueq3PnDkjjwUCAQKBgDRtL1T19fVcccUV0ugsKChg/fr1lJeX09vbS1xcHOvXr+ftt9/m1VdfZdGiRec1rpWm4sknnxTYzoUqJydHGKZ/+7d/+5G/zyetv/gFQtnA+/r65KIcGxuT87eSUCckJEiEWWJionSKVUNJ0ZMUTNVisVBZWSl3ZzXmU+DYU6dOodVqqa6uZnp6mszMTL74xS+KE7S8vBytVsuePXu49NJLCQaDVFdXk5ubi8/nw2Qy4XK5WLt2LWlpaTz22GNyHFDGqaSkJJYtW8b4+Dg+n09gL5deeiknTpxgeHiY+fPn093djcPhkOmEOgKsXLkSr9dLV1eX7DYyMjKoqKigrKxMGpMtLS288sor+Hw+0V2ohp/VapVdSFdXFxkZGXi9Xnp7eyXVKj4+XqY854bRqkW7o6OD8fFxNBqNpGGFw2E8Hg/z589nenqa1tZW4W+Ul5dTXFzM6dOnOXz4MOdCj//+7/+eW2+9lTfeeIOrrroKOBtQPDk5SUtLy/uuj/LycvnYarVKmtkH1cDAAIFAgNLSUkZGRtBqtZSUlDB//nx6enpoamqSqZgihF133XXvc2weO3aMZcuWUVJScsGfo3YKpaWlH/p8Pm39xS4Qyiw1MzMjbxCj0YjX68VkMpGcnIxer5f/1+l05OTkiAVXXaRms5mBgQHhEs6aNYvt27dTWVnJrFmzmDNnDoODg5SWljI0NMTixYtpbW2lvLwcl8slGgu9Xi9htz6fD4vFgtvtpr29HZvNRk1NDcFgkIKCAjkKqL5IRUUFDz/8ME888QT79+8X4U9xcTE1NTXEYjFZnBTDYfny5dTV1dHY2MipU6dYsGCBwE2amprE0KW+f0JCgjQrL730Uux2O9nZ2UKUuuGGG9iyZQvbt28nHA7LJCUpKUlk1yaTSYxWU1NTAhdWUwO1wKmP1Rh1YmJCZOqDg4OYTCaGhoYoLCykpqaG8vJympqaiMVivPzyy6xfvx5A1JnnVmNjI9/97neZnJxkZmZG7NznRuhdbN1zzz3vgw7NmjWLrq4ubrrpJpqbm4lEIuzZs4dt27ZRX1/PzMwMMzMz5OXlyddcqDdVWVkpUN8Pq3MTvP4Y9Re3QKxbt06EMXD2rmCz2UhOTsbn84m8Vt11XS4XiYmJIqsNhULU1dVRUFAgdwKVQxEIBKiqqqK0tJSmpibWrl1LZWWliIOSk5MlaEXRmdVC1N/fTywWIyUlhXA4LJkeo6OjHDp0iPLycmEeKiGRwWAQdJ7ZbGbTpk3MmzePxx57jMTERBFwzczMsHz5cjo7O3G73aSlpdHS0sKCBQvo7u7G7/eL+UpZtlUSd1dXFy6Xi0AgQEZGBn19fRw+fJjdu3fjdrv5+te/zpw5c8jNzeXee+9l3bp1/OAHPyAYDOJ2u5k9e7ZMLdSuAM76IM4Fyyq1Zm9vrzAnFW5fp9NRXFyM1+tlYmJCgoAzMzMxGo1YrVaysrIYHR09bxfw61//mqVLl1JXV8e7775LR0cHNpuNYDBIV1cX27dvl+f3SSZMFyKS+f1+zpw5w7FjxygtLcXn85GQkEBzczMmk4m+vj7R0nxY/Y//8T8ALrirObfKyso+9vP+OPUXs0CUlZWJNVktDjabTc6jFouFmZkZJicnxcOgpLQ1NTVMTExIPmZZWRnV1dUsX75cxD9Wq5UzZ86QnJxMfX09ExMTnDp1igcffJCUlBQikYi4K1UvQ0WoqXPtmTNneOONNwRhptSOJ0+eZGhoCL1eL4YshX3TarVkZGTQ399PdnY2S5YsIRwO89RTT5Gbmyvw2BMnTshkRa/XY7PZhAI9a9YsWWRUj8DlchEKhXA4HOj1emELdHZ2CjAlLi6Of/7nf6aiooLKykr+23/7byxcuJDf//73/OxnPyMSicj4UJnFVMKWiqxLSEgQ8ZaigSuRmkK9qeOSariGw2FZFEpKSqirq5O/7blE6EOHDnHs2DHGx8cxGAxcccUV7Nu3T7wk6enp9PX1iaLxsyifz8epU6fIysoST04wGGT16tUy4nU6ndJr+KhSDcsPqmg0yu23385TTz31GTz799ef/QIxf/584uPjRQsAiDOxpKSEqakpYrEYdrudjo4Opqenxf3X09Mjaj6FAItEIpIr0dLSQmZmpmghzGYzg4ODnD59GjhLkn7uuef42te+JnSi+Ph4tm79v+S9eXTc5Xn+/RlppFkkzYxGuzTaF8vaJcvybuMdgx0DThMIYAikEAr0VxpKQ0Ma0qYhKeFtljYpSUNDaMxilgAm4A0ZeZUl29r3fZnRaCSNlhlJo23eP8xzvzgBAoSe8wvvc46P7LGkmZG+32e57+v6XM9LlJtqM6amplJZWYnL5ZKLory8nPDwcAMd5uIAACAASURBVEpKSnj11Vdpb2/nxhtvFM+DguEq/4Hquixfvpz8/HzcbjdlZWW88847kheh0WgEVhISEoLP55ObVzEmAcl/SEhIECZBS0uLsCX8fj+pqakAtLS0SCTfzp07MZlM7N+/n6efflryScPDwxkeHmZyclK0FUFBQcKbVB0NrVYrHApljlKtZZvtstcvIiKC2dlZzp07x3XXXSecyzNnzlyxEwgPDxeVZ2xsrKhfZ2dniYyMxGaz8d///d/i0ty+fbt0aT6pOO/pp5/ma1/7Gq2trSwsLHDbbbcREBDAP/7jP8rnvPzyy3+ywlGN/v7+/9VjxmdWSbl169YrgK1KRqzajdnZ2RiNRjmTLy4u4nA4BIiqztFDQ0NotVqsVqu0MNva2pidnSUuLg6fz0dOTo6g4FXWwdTUFBcuXMBoNJKYmMiKFSsYHBwkIyODU6dOMT09TUpKikhjVcEuLS2NsLAw8SEcPnwYvV7PxMQE2dnZ7Nixg5iYGCwWCzk5OQwPDwsD4NKlS5SWljI/P88jjzwiuZRvvvmmKChTU1Opr68nMjISnU4nzkIV96f8FXBZyl1UVMTk5KSY0hYWFmhvb2d6epqEhASZ5MxmM2NjY3zuc5/j7rvvBuCrX/0qkZGR0oUZHh5mZmZGukMqK0MVJi0Wi9QcVGF42bJlLCwsCOcBLt/4W7du5Y033mDdunVotVpaW1tZWlq6QsC0ceNGsYM/8cQTtLe3c/z4cVGLKsR9YGAgnZ2ddHZ2Cu5OsS7UZP9JR3d3t0yk7x1//dd/TXd3N7Ozs3R0dJCWlvaxPDpJSUloNBqxeC8sLHDo0KFP9Bo/TEkZ8Im+4/+lY/PmzRQVFbF+/XqZEABp3yUkJLBmzRpWrVolklSHwyEYMnXMGBgYEK6AQo77fD6ampoIDAwkJCSEzZs3ExcXR0FBgRiGwsPD2blzpwhd4PKZtLe3l4sXLxIYGEhfXx9arVYgICqQV9UxGhoa+N3vfkdgYCBlZWVSM1BwU5vNRkJCAt///vfp7OyULayCnChdgOq/19TUEBISwooVKwgKCqK0tJSAgADZOSnvghI+abVa8WOoIOLBwUEJk42Pj5fjR39/v/gPHA4Hk5OTVFRU8MMf/pD+/n6ReA8NDTE8PCyip9HRUTmqqO6I6k4oIrjCynu9XkZGRuQ9qnqR3W7H4/FQUVHB9PQ06enpnDp1iqSkJDZu3EhqaqqY5+Li4sQ2rnD0Kt5ueHiY48ePU1dXJxF3iYmJjI6OXuG8/aTjg76HSnpXaWwqdPijjrGxMfnT2dmJ3W7/XyGnf2Z2ECtXrpQQlbCwMFmFlHAnNDRUtpKKthwXF0dlZaXsGhQSTfEPp6en8Xq92Gw2waoVFRWxZcsW5ufn6e/vZ2JigsLCQpxOJ5mZmRw9elRWroqKCg4dOoTFYmF0dJTw8HCio6Pp6+vjS1/6Eu3t7czMzLC0tCTWXxVhX1JSwtq1a3nrrbdIT09nZGSEtrY28vLyuPPOOzl06BAZGRn80z/9E6tXr5b0LSXsWVpaEiu5xWIhOTlZah0DAwMEBgZKN6SyspLg4GAp+mm1WsbHxxkdHWXDhg2Mj49js9mYnp6Wm6uzs5OlpSVycnLkKJadnU1ERIQE14yNjQn9OigoSMCvIyMjUvNQsJX5+Xm8Xq8USxVkR9U7oqKiSEhIkA5TcnKyoOEVIVun01FYWEhnZydtbW1MTk4yNTVFXl4eq1ev5r/+679wu91s2LBB1K/19fUC85mbm2PHjh0UFRVRXV0tArCjR4/+b1zaMu68807J94yIiOChhx76o1/zXn2MKiJnZWUJgzMwMJCLFy8SFhbG+Pj4h+pC/n/jxVD9dyUHhsszuNo2V1VVCRzFbDbT29vL7t27OXbsGDExMQwPD8uqo5BmwcHBTExMiDaitbWVZcuWERYWJgwCu91OUlISBoOB0tJSampq2LhxI7t378ZoNEpGp5IIq9ZgcXEx6enpsvP45je/SUpKCi6Xi+DgYH7xi1+QlpYmKVCBgYHs3buX8fFx0tLSRLvR2trKr3/9a0GcqQ5HdnY2Fy9elJtPtWdVdoZSeKoY+/HxccLDw9HpdHg8HkJDQ/F4PPh8PtEiKHNXcnIyHR0dDA0NYTQaiYqKYvny5UJ3Uq9NgVdGR0fxeDzSrVCwGJfLJUVhuDyZqUSr4OBgqV8kJiaKnVndHAr/1tXVJerKt99+m6ioKAwGAw6HQybMN998E4fDITuml156SXaMs7Oz5OXl/QHKDeDBBx/k1ltv/YPHP83xy1/+kvvuu0+Svp966impC/n9/ivqF/fccw+vv/46oaGhskuenJwkIyODyMhIQkNDJT4wPT1d2q6fdHxmJghlsVa2ZbXVhsu9aVVYA0SX0NraKqG1IyMjxMTE4Pf7GR8fZ3h4WIRPKmg2Li6Ouro6Xn/9ddLT08nKymJ8fJzs7GzBtMfFxUmGQ1RUFDabDZvNRmlpKefPnyc3N1dMQKr7kJWVRXR0NP/xH//B9773PcbHxwUaEhcXh9vtFuBId3c3hYWFGAwGEWrB5f5+dnY2Bw4c4C//8i9xuVwiOFKGqomJCdLT08VzodDuyrKtHIQ+n09W6OHhYSYmJuS5s7KyMBqNREREYDKZuHTpEvPz8+Tl5eF0OiWWzmAwCJLO5/MxNjaGXq+XQqOyc6ubQKPRyM9fuV8tFgtwWfLe0dFBcHAwZrOZrKwsxsbGeOaZZxgdHcVms+F0OllaWhJ35d/93d/JUaWzs5OFhQVSUlIEiKO25263m9zc3A90PaampmIymdiyZQuBgYFkZGQQEhLCD37wg490XSp+5h8b27Ztw+VyScCw2kV8+9vf5qc//SnV1dWcPn1awpBnZ2cJCQmROlp8fDwrVqzgwQcflO/529/+9iMj8z9ofGYmiN+fFNRjqgipmIfqfN3X1yd6B+UXcLlc4qs3GAwUFxfT0NCAwWAgOTmZkJAQvvrVr1JVVUV3d7fceKOjo+zZs0e20u8VWuXk5MhZurS0lAsXLnDmzBmysrKoqakRRJ3aHv/oRz/i0KFDvPXWW1Ls/Iu/+Avi4+OpqqoiMjISo9FIaGgoZ8+exeVyUVxcLFj3jIwMsrOzCQoKkghAFZCrVtOAgABhFno8HqnVKJ2FCnpRGRKKKWGxWFhcXCQgIEAKebGxscLAbG9vJzg4WOhPSu69tLQkx5nBwUHRk6j2sJJzK82A0kqo9mNkZKTsvlRhtb+/n8HBQfR6vQQZq8gBgMcff5yvfOUrwrEEGBwclEwNBaRJTEwUAM77DeXZ0Ov1NDc3i4x9//79/PrXvwaguLgYv99/hYPy6quvJjU19SNbzj/oRv7Wt74FwBe/+EW8Xu8VblbF6rzuuuuwWCxXTA4f9j0/zvjMTBDK2afabzMzM8JGLCgooLe3Vyrnq1evxuFwMDExIZX4zs5OCUUJCwujtbVVXHKq5fn8889z6dIl0tLSROQTGRmJw+HgiSee4N577yUhIUHETHNzc+j1etk+W61WduzYQUVFBc3NzYLGLykpISkpicXFRaxWK/v372fv3r08/vjjDA0NSa1i5cqV+Hw+UlJSSExM5Etf+hI/+clPmJ+fp7W1laqqKm699VYmJiZEOHTrrbfS0NAgGHyV9qQ0B8HBwWi1WsG6+Xw+FhYWGB0dlfawz+eTeoGCpgYHB4uoKzIyEqfTeUWLUukKlpaW8Hg8jI2NCR1Kp9MJXFWBYs6cOSOF1oCAAFasWCE1jrCwMFwuF3l5eVRWVkrYrtJBbNy4UR577/D5fGg0GqxW6xUhPyphS2VQDAwM/MH19Pvj/eoCDz30kICLDQYDt912G7W1tfT29qLX63nrrbc+hSv78qioqBAWh9opK3WpwgL+b4zPzAQBSHvO7/ezefNmyVs0Go2EhITQ29tLWVkZ7e3thIeHS7trbGyMmJgYmpub0Wq1ZGdns3z5cjIyMkhNTeXFF1/EarWybds2jhw5QkdHB/Pz85SWlsok4PF4+Ou//mt27NjB0NAQ27ZtY/Xq1QKSiY2NJSgoSIxb6rhjNBp57bXXuP/++6XSrgJe77//fm6++WYGBweJjo7mu9/9Lk1NTczMzGA0Gtm7dy9dXV3U1dXR3t4uhdH169eTmZnJww8/zPHjx5menqa5uVlI1OpGUe9fMSvm5+cxGo1yRFD1GJ1OJ/oIVayFy4VfNbGoPFBVCFVS8IWFBVwul6x2aucQGRlJfHy87J7i4+MlpXrTpk0CkJmbm6O8vJzFxUUaGxt56KGHKC8v5wc/+IGg4cLDw5mZmfkDufTf//3f093dzWuvvYbL5WJ0dJTFxUVMJhMpKSlYLBZpbX+ScdVVV7GwsCDiqyNHjjA6Oio7xj82UlNTPxLxCi5f2+rIqNPp5Oeo1Wq5cOECsbGxn+g9/LHxmWlzqhtObX+VrqC7u1tw72lpaczOzhIcHCw4NQVRbW5uljaekj23t7dz9OhR9Ho9tbW1uFwu9uzZw5o1a+jt7eXw4cP8+7//O8eOHaO5uZmZmRmOHj1KdXU1Dz30EI899hgNDQ1XnLUVrdnv9+N0Ounp6ZFVR6PRSC6D8k8kJydLSE1sbCwjIyOCutfr9dxxxx3CX9y9ezc2m43XX39duhA7duyQluD8/Ly0LpeWloQQBWAwGK6Inp+YmBDxlFI5qiPI9PS0IPMV59Lv9wvRyOl04nA4BIarJiGlMUhJSSE+Pp6+vj6hX+fl5fHggw+yZ88e2caPjY0BkJ2dTVlZGZmZmfz4xz+mqKhIuJnqvb0fqDUkJAStVsvevXvFZRofH8/y5culYDs/P/+JRUuPP/44//7v/057eztDQ0N4vV6ys7NJTEz8ox4KuCz4+ig5rep4ZjQaSUhIkJAhVYC0WCyUlJT8wdd9GjGPn5kdhLqpVJGtv78fp9PJ4uIiUVFR5OTkSE1CFRGzs7MZHR2V5GhA8O5+v1/O3arWkJycjMPhoKysjP7+fi5dukRUVBT9/f0YjUYsFosIiNLT0+nq6uLv//7vxdl5xx13YDab2bp1K88//zwLCwuYzWaio6N58803ycrKYnJyktLSUjQaDSaTie3bt8uO5fz587S3t/OLX/yCVatWUVJSQmhoKHfffTeVlZXk5OTIyqXRaBgdHSU+Pp6ioiLCwsI4f/48TqdTJlMlHPP7/eKmVKQmxbQMDAyUlcvn84kPQhnXxsbGMJlMuN1uscGrY4rNZiMqKoqqqiq8Xq9kWSoNQkBAAAaDAb1ez759+5ibm6OtrQ2Xy8WuXbv4t3/7N5KSkkhNTcXr9bJy5UoJ6DUYDMzOzlJSUsIrr7wiGD2NRsOGDRukntHc3ExUVBT33HMP69ev/1Svua6uLiGIX3XVVVJkVelY7zcee+wxHn74YeByYX1qaupDn2PdunUyOQPSuldQH5UG9uqrr/J3f/d3wOX6R01NzRU1mU86PjMThNlsJjExUS6SpqYmKXg1NjayZs0aDh48iN1uFyWi0gTExMSIcs/r9WKxWOjt7ZXWYFZWligt169fT05ODiUlJdTX1zM7O8ulS5fEZRgVFUVAQACZmZmcOHGCwcFBPB4PlZWVdHR08J//+Z+kp6cTFBQk+QlWq5WoqCgKCgp4/fXX0ev15Ofns7i4KAIu1Z612WwcOHCA/v5+4uLi0Gq1ElBjtVoJCgpi3759tLS04Ha7iY2NldUyLS2NhoYG2T2oQqSqHSgArMFgEF+K2+0WStV7UXE2m03qHCp6LjY2Fq/Xy9zcHDqdjvDwcPx+v7QpVZ1Aq9UyOTlJeno6mzZt4ty5c5SXl3P27FlSU1Pp6ekhNTWVtWvXcurUKUZGRli7di1Go5G4uDgaGhokwctisfDOO+/gcrmIj48nODiY+Ph44Tn87d/+LQcPHqSvr+8TX1vXX389r7zyCnC5IBkZGSkmqsXFRTnieDweoU0p387vD5/PxwMPPMA777zDzMwMjz766B98zte+9jWmp6clenB2dlbqWKoFrJSpBQUFVFZW4nA42LFjBz6fj6qqKnQ6HV/+8pc/8XtW4zNxxLjtttuwWq1kZGQwPz8vHgKlYhsYGBCYqdFoJCgoSICgi4uL7N69G7/fz9jYmKxMipCsiFB9fX10dXVRU1MjffyCggI2btzIV77yFe666y6+8IUvkJGRQWxsLBMTE1RVVVFcXExOTg4RERHSUh0YGGBubo6WlhY586ekpBAaGkp6ejpLS0tS4Vd5FdXV1RQWFnLjjTeyatUqzGYz3/3ud/H5fHR3d/P2228zODhIS0sLPT09wmRUgbtqVVO6B1WotNlsAiUZHh5mdHQUp9PJ2NgYIyMj8sflcjE1NSUdAdUaVrZslbSt1+tFk7Bs2TJCQ0PJz88nPj4eg8Eg0XM6nY7Ozk66urpwuVy0tLQQGBgoK//3v/992tvbSU1Nxe/3y9ENLlv0z507x8svv8yJEyckGLmrq4uGhgbhLKhRUlLyiY8RDzzwAGNjY2zfvp01a9YwOTkpx1aj0UhMTAwajYbKykqJYFSA4/cbo6OjxMXFsW/fvg8sLD7xxBPExMQwPj4uvpvg4GCSkpLkaKyKruHh4eIgVuh9RddqaWn5RO/5veMzMUEod157ezshISEkJycTGRmJxWIRbkNwcDBbtmwRy7XX65UV9+WXX0an07FixQqio6PR6XRYLBZGRkZEIKQi7V5++WUefPBBnn32WXw+HxMTExIau7CwQHJyMsuWLcPpdGI0GtFoNKxdu5bVq1df4Ye466672L9/v9CjVYtsx44d/M///A+NjY24XC4iIyMZGRlhaGiI0dFRRkZGuP/++8Ub0tTUxNNPP01CQgKvvvoqx44d49VXX+Xo0aPk5uYSGBhId3e3IO8VDdpgMJCUlCQqQjUhKchtaGgo0dHRJCUlERUVhdlsJjg4WM61KkRHBcvY7XbpFHk8HqxWK+Pj4ywuLsrPTz0vXC4+bt++ndnZWZxOp0xcyl3rdrs5cuQI9fX1IuxyOBxUVlZy9uxZNmzYIEE0AQEBLFu2THwNarV/7/hjiLn3G/v27ePixYsEBARc0QZXOzplX+/u7pb6TVpa2hUUqveO48ePy+IRFhZ2BYzm90dDQwNarVaOIGFhYbjdbulixcXFERkZySuvvCKTxNTUlDA+dTod4+Pjf/Kx6jNxxFCKPbfbjcvlIikpibq6OsrKymSFmpycFMl0c3Mz9fX1JCcnk5WVhcvlIiUlhdraWtxuN7t376a2tpbCwkKmp6elK/HKK68IxOTUqVMcOnSIm266iRMnTrBy5Up0Op3wBVSQjc/nY2pqiuTkZLZs2cLjjz/O/fffT2xsLJs3b+bFF18kPj6emZkZUlJS6O7uxmAw8OqrrwoKLzExUc7qZrMZv9/PPffcQ1tbGy+++CJ33HEHIyMjlJWV8fzzz0vtRbUvo6OjsdvtBAYGsrS0JBe4kjarSroK/YH/LzVctSXVzsxmszE3N4fb7SYiIgKXy4XBYBCytcvlEiqVupm8Xi8REREkJSXJsS0+Pp7ExETsdrt4OUwmk7SerVYrU1NTXLx4Ea1WS1ZWFnFxcYSFhVFQUIDX6+Wxxx6jt7eXs2fP4nQ6CQkJoaurS96DGocPH+aGG26goaGBvLyPHssyNjYmryshIUGyV30+nxzT3G43iYmJElZUXl7+gd9v69atAip65JFHPtRifv78eWnv6vV60ctkZWXR1tbGzMwMra2t4qdRMKCcnBympqZE2XvkyJGP/H7fb3wmJoiRkRFCQ0Ox2WxYLBaampoIDw8X++/MzAyxsbGUl5cL7l215ZKTk4UJuGrVKgYHB6Vqn52dTU9PD8HBwRw+fJiAgABp1ZWUlHD27FnefPNNcTTu2rVLAk9cLhcrV66ksrISjUZDb28vzc3NLF++nPn5ebq6uhgbG+Mb3/gGFRUVuN1uDh48SFBQEDk5ORgMBn7605/K1txms3Hs2DG2b98uhKucnBxuueUWaXOqVVuJvxSTor29Hbh8Xg4JCSEkJEQKiqqroaTjSqSkip06nU5uOK/Xi9vtJjIyUsJqlcOyoaFBlIZ6vV5cqsHBwUKYXlhYIDw8nLS0NG6++WZpL1utVvl5mEwm0tPT2bNnD9/85jfx+XzExsYSEBDAzp07r0Dj9fT0sLS0xJe+9CV+9rOf0dHRQXx8POPj4+zYsUNujlOnTlFaWsrDDz9Mf38/L7zwAr/97W85cOCApIrt3LmT9PR08ZAMDw/LpKyS3FVGqNrtREREyM/0g3YNHzS+853vsHfvXnJzc983hVvVa1RdCxB0oXLWqnqbalfn5ORw11134ff7OX78OLOzs2Ia/KTjM3HEUPxE5eBT4bA33nij1BbMZjNOp1P4BDt27GB2dpaRkREiIyOx2+0kJCQQEhLC0NAQJSUlDAwM4PV6Jdrd6XQKYv3s2bMiFlI31blz5xgeHqa+vh69Xk9lZSWjo6OcOXOG8fFxEhMTCQgIwGg0Mjw8zPz8PFFRUdTU1LBmzRpycnLo7+/n8OHDxMTEkJ6eTmlpKVlZWcTExNDf38+//uu/8qMf/YjTp09z8eJFsTcvLCzQ09NDeHg4cXFxxMfHY7fbqaurEw7mwsKCbHGVSlMRqRQBW7EvrFarwF4UAwIub3UVkr29vZ3m5mYWFxfZuXMnBoOBiooKOjo6sFqtUtWfn5+XiWZqaoqWlhZmZmZISkpizZo17Nmzh7vuuovrrruOqakpzpw5Q3l5OY888gi7du0Sy/aTTz5JbW2t2Pejo6Mlhfwv//IvefDBB9m7dy/FxcVXuCjdbje/+tWvqK2txWw2U1VVJfoXBZFdt24ddrsdp9OJ2+2mt7eXyclJYmNjGRsbY2pqiujoaLFXm0wmUlNTWVxcpKmp6RNdt+q4q7oPaqxbt47AwECCgoKIiIggIyNDXLUDAwP4fD5SU1OvqKdFRUWxfft20tLSyM/P56c//SlPPfXUx84H+f3xmdhBaLVa2tvbaWlpIScnB6PRSHNzM729vcKQbG1tZX5+nhUrVlBRUYHH46G4uJiJiQk0Gg0zMzOihVDVdBUSs7i4SElJCT6fj7q6Opqbm5mcnCQpKYmlpSVKSkokydrtdvPss8+yadMm2traSEpKYmFhgba2NjIzM4mMjKS7u1ucdps3b5ai4eDgIBMTE2zevJlnnnmGtLQ09u3bx7FjxzCZTJw+fVpIye+88w6hoaFXJGgpR19bWxs5OTk0NjbS3Nwsoii9Xs/Q0BDz8/NMTU1JrUG1JfPz88nJyZEwm/LycoaGhoiIiBCn4dTUlKy6KhVLBRWnpqaKB8PtdpOWliamMJXwpV7Hk08+ybe+9S157WqSN5lMHDlyhNOnT3PNNddQUlIiob7j4+P893//N0lJSZjNZgkK7u3txWw2ExoaSmRkJHFxcQwMDLB//34BztjtdoKDgykuLsbj8Yi+xWq1yorscDjEuKY0Ih0dHeLoXbFiBePj4+Tl5eH1ellaWsLr9Upm6Mcdv/rVr9i9ezfR0dHcd999woNwu914PB6io6NJS0sTebUKNFbAZGWJV6K5qqoq0Z18Wglun4kJQlmEh4eHSU1NlRAWm80muLbGxkaSk5PxeDyMjIwIrGR2dpbJyUmioqIkmyE1NZW0tDSCgoIoLy+XYJiysjJcLhetra0yqzscDpYvX87o6CiTk5NUVVVRUFBAcnIyUVFRFBUVkZGRwfHjxzl16hSXLl2ira2NnTt3MjQ0hMPh4Gtf+xqXLl2ivb1dUGQqOzM4OJjS0lKeeuoppqenyc3NZX5+noCAAHp6ekhLS2PVqlVCTe7q6iIoKEiSyJUxS6vVCnvR4XCIb0SRsKKioli7di2lpaXCT9i4cSNerxeHw8HY2JiAdYaGhrh48SL9/f1otVoR7/T29pKamiqBPYrkDchErMJoZmZm+PGPfyzEaXU0y83NxWg08vrrr0s9oqGhAavVKsi5AwcOkJqayrp160hJSeH8+fOYzWays7Npbm4mJyeHNWvWEB8fz3e+8x0RZcXExMiqq+LzrFYrAQEBPP300/j9fqKiooQfYjAYcDqdLCwskJGRIVSu+fl5FhYW3rcY+nFHY2Mjy5cvl92b2+0Wx2txcTEajYa6ujqhoKmFQHFJsrOzSUhIYGlpiZ6eHt555x3hiX4a4zMxQSg6saIkwWWmogKjqsQptdJt2bJFovFUj768vJz09HS6u7vJycnh8OHDZGRkMD4+Tn5+PlqtloqKChITEykrK6O+vp6+vj7Cw8Pp7OzE7XYzNDREQUGBBOIODAzQ1taGXq/n+uuv5/Tp0/h8PlpaWpienmbdunXMzc1RVFTE//zP/zA9PU1ZWRmlpaWiOcjIyCArK4tLly4Bl/vw09PTHD16VNSRY2NjHD58WDwooaGh1NfXS9BMQEAAcXFxkqoVHx9/haAqPDwcm82Gw+GgurqagoICaRmrFqjJZKKtrY38/HxSUlLYvHkzVVVVdHR04HQ6SU5OJjc3F41GQ2JiIj09PbzwwguyQ1Ap30lJSczOzjI7O0tnZyevvvoqeXl55OfnS7xfTEwMCQkJdHd3k5aWhtVqJSEhAa/XK12N1tZW1q1bJzLw2NhY9Ho9V111FS6Xi/b2drq7u1m5ciXDw8MEBAQIl/Sll15iaWlJahsXLlzAbDZLRub09LQkdyknpsvlEt1FcnKyOE3/1KEWqerqamJiYoDLxdHi4mJ6e3txOByigfD5fBIDqWhSKsG7vLz8AxO4/pTxmZggVAtw5cqVNDU14ff7iY+P580332Tbtm1cuHABl8slUXEOh4OioiLsdjtms5nR0VHy8vJ48cUX0el07N69G4/HQ3Nzs5CR1q1bx1VXXUVTUxM1NTWCdluzZo2cXZUzUOnl9+7dy/PPP095ebl0ILxeL2vXriUwMBCtVktISIhkRnM8rAAAIABJREFUKzqdTk6fPk1kZCR6vZ6mpibOnz9PSEgI9913H+Pj4xiNRjo6OoTNsHnzZp577jl27dolDk69Xi8Ys5qaGsxmM7OzswwNDRETE4NWq2VkZASLxcKmTZtYtmwZhw4dYnh4WHYK3/3ud1m7di0ajUaoUSpwJzExkdraWkpLS1m/fj0nT57E6/UyPT1Ne3u7aATKyspobm7GZrOJCrOnp4ewsDCGh4fJz89ncHBQYvhaW1uldrF582Z+97vfcebMGSYnJ0lMTJSji5rU6uvrKSsrY8OGDbz66qsSe9/f38/x48fp7OzkhhtukEq/2qG88cYbspgcPXqUtLQ03G43s7OzInx6b4ZJQECAtLkVtObjEqA+aAQHB+N0OomJiWFoaIiRkRFiY2NJSEigq6uLiYkJTCYTHo+H3NxcaXeWlJRQVlYm3+ejQnA/7vhMTBCKdtTV1cWaNWt47bXX0Gg0rFixQtD1MzMz0lZSij/lUjx79iwpKSlcd911GI1Gvv3tb2MymSRu3uVycfjwYW6//Xaqq6ulO3DdddcxOTkp6VSqWKnRaNDr9dTV1REXFycGrtnZWXbt2iUGsoaGBjlmlJWV4XA4uHjxIi+99BLV1dWUlpbS1NTEc889x80338zGjRuFcXjjjTdSXl5Od3c3Ho9HzDp6vZ4f/vCH6PV64WYuLCwwMzMjDAen00l0dDQbN26ksLCQmJgYHnnkEX70ox/h9/uZnp7mW9/6Fi+99BJWq5W3336be++9F71ez/z8PE899RRdXV3k5OSwatUqUlJSpEC7tLSE3W7HYrEIp1K1e7VarRC54+PjZXKoqKigq6uLF198kf379+Pz+fjc5z4nCH/ll0hKSiIvLw+fz4fBYBCzkmJjPPfcc9xxxx0C8lWeESUVV0noPT09fP7zn+e1114TlJ8Cv5pMJvr7+8nIyKCpqYlVq1bR0dHB6OgowcHBeDweqqursdvt3HfffVdchzfddJO0Ft/PIfp//s//wePxMDc3R2NjI/Hx8axbt46KigoBHSkGSENDg5jYRkZGiIiIkKDfq6++GpPJdIV35n9r/NEuhkaj0Ws0mvMajaZWo9E0ajSab7/7uFWj0RzVaDTt734Mf8/XPKzRaDo0Gk2rRqPZ+Z7HV2g0mvp3/+/Hmg8SrH+McfvttzM9PS3CqMHBQTZu3EhXVxcej0fOdiaTibCwMAmH8Xq9JCcnk5iYyN13301QUBB1dXXYbDZJnV6zZo3YweEysVglXKsUJ1X1djqdTExMYLfb8fl8nD59mu7ubkJCQggPD8disfCb3/yG+vp6mpqaeO211wgNDeXSpUv09fVRWVnJwsICa9askTNvQkICU1NTrFy5UlDqarJLS0vDZrNRVFTEunXrCA0NFWK0UjS+F9obFhZGSkoKJpOJ4OBg1q9fT3FxMQ6Hg5MnT2I2m7njjjt46qmnWL58ORqNhv3790vYy9zcHAaDAYvFwp133sktt9xCSEgIsbGx2Gw2yfJUTEkFp42OjpZqvMViwWg0iqGpsLCQLVu2kJaWRktLC6GhoVy4cIHXX3+dhx9+mKSkJO68805p8zU0NNDX10dOTg4ul4uzZ88yODhIdXU1aWlpxMbGijQ7ICCArKws6QYoEV1ra6tAepXjtLu7m/b2dmZnZ3G73aKJUeRv1QK2WCyMj4/j8/loa2sjIyODm266iVWrVrFx40Zqamp44403BDHQ0NBAf38/P//5zzl27BhWqxWLxUJfXx8+nw+n04nBYCAnJ0cmtMXFRbq7u4WwHhQURFxcnGSF3nXXXeh0OrKysrh48eKfevv80fFR2pw+YIvf7y8EioCrNRrNauDrwHG/358JHH/332g0mhzgRiAXuBr4qUajUYqQnwF3AZnv/rn6T30DSsmXmpoqisO6ujoiIiK4dOmSCHtUqy0qKkqyNJURqa2tjaKiImn7xcbGSvHuC1/4Atdcc410RzIyMggMDCQsLIzf/e53jI6OkpaWhk6nw+l00tfXx8GDB2lra6O1tZUNGzbQ0NDAhg0bALhw4QKHDh1i06ZN0rqsrq5mYmKCAwcOcPToUeLj40UqqzIinE4nzc3NBAUFMTo6it1uJzs7m9jYWPbt2yceidraWsbGxrBarWLZHhsbExzZ0tKSOER7e3tpbGzE4XDwq1/9ShDx//AP/8DmzZtZWFjggQceYGpqir/6q7+is7OT6upq+TwFXunr66Onp4euri4mJycZHR1lenoan89HRkYGJpOJuLg4EfPY7XbpAHg8HjIyMkhKSiI7O1uMXCEhIRw5ckSCfRXpSz2nOqZ985vfxOFwiEhrcXGR06dPU1NTQ15eHlNTU1x33XXcc889jIyM0NzcjNls5umnnxYPhfKpFBQUSEcnPj6e7du309LSwsDAAJs2bcJqtRIREcH8/LwIyXp6eoRo5Xa7ZdJRytr5+XlKSkqorq6mra1NhHuxsbEsLi7S0tIizkwFsVWLjNKqREdHs337dgDpxCmz4f/2+KMThP/y8Lz7z6B3//iBvYASvT8NKHzNXuA5v9/v8/v93UAHUKbRaOIAk9/vP+u/bCf89Xu+5hMPFUATFBQkGnhFkYqKiuL8+fNoNBoMBoNcED09PWRmZqLVajl27BiBgYGEhoYyMzPD4OCgtCOVtPfEiRNER0ej0Wgwm82UlZXJ8WN8fJzu7m7q6+vl5lGFusnJSYKCglixYoW83sDAQPR6vWgBzp8/T0FBgagUBwYG6O7u5stf/jJ+v5+2tja0Wi09PT38zd/8DZWVlUxMTPDiiy9Kh8Vut3PixAmWlpZ44YUXWFhYEJZkeHg4UVFRosqbnZ0VMZFCxU1PT9PY2Mjg4KB0NjZt2sR3v/tdVqxYwaVLlxgeHub8+fNUV1dz5MgR2tvbqa+vZ2JigsrKSrnhVTiQ6gKo6L3s7GxpRarfw+LiotxgZ8+epbq6mq6uLkpLS7HZbGzcuJGAgAAiIiJISUnhC1/4Ag899BBbt24lMDBQ8ilV9F5ZWRmNjY2y2iq258WLF0lISBBvQlxcHHq9XmjaKhxpZGSE/Px8WSTcbjepqans3r1b6kpw+Rin5Pp6vV6MYAo5GBMTw+7duwkJCRGdSVhYGHq9XsA5KoZQ0dMDAwNlIlQ7Xrg8ISQkJFBUVERCQgJVVVXo9Xry8vK47bbbPvTeeO211/7U2+ujCaU0Gk2gRqOpAYaBo36/vxKI8fv9DoB3P0a/++kJwHspmQPvPpbw7t9///H3e767NBpNtUajqf5jPWa15VO9YZUGHR4ezvz8PKOjowQFBYkWIScnh9nZWQ4fPkxnZyc6nY5jx47R0tLCzTffzDPPPENKSgpHjx4VBaBSRNrtdtxut2y3VU9dFUDDw8PxeDwiY7733nux2+1XiHZSUlIEM2+321mxYgWVlZVykf3VX/0V09PTksyUmZl5xRn6rbfe4qWXXpLjy7lz5+jo6CAzM5OxsTFCQkIICAhgaGhIVsPIyEiJ1VNQ08HBQenvZ2VlYbFY+OEPf8hLL72E1+uVSWvfvn1kZmaydu1aUlNTSU9Pl/Pw+vXrZTJSyeiq8Komh6ioKLRaLX19feKLUYnpytikajEjIyMkJSVhtVqFe5GUlMS2bdv44he/KOdutUMYHBwkLy9Psi3Vyq/agLOzs1RUVOD1erl06RImkwmHwyEQ47m5OXGmajQaLBaLyKrn5+cldctut9PT04PD4cDr9RISEkJubi6lpaVYrVZ0Op2knsHlgmFhYSEdHR04HA4GBgYkrHh2dpbY2Fg6OzsFUaDi+BTvQeWDxMbGsn//fuLj46mpqaGsrAy/309RUdH7Zm28d5w8eZKCgoIP/ZyPMj5SkdLv9y8CRRqNxgK8otFoPkzQ/n51Bf+HPP5+z/dz4OdwGXv/Ya8tMTGRxsZGMV+ptKj5+XlJuZ6YmMDv91NWVobT6SQ0NBS4rArs7+9neHgYi8VCY2MjV111FW+++SZXXXUVExMTlJeXYzKZKCwsFPBsWFgYo6Oj1NXV0dvbK2lNc3NzhISEYLVa6ezs5Fe/+hWJiYnYbDbq6urYt28fBw8e5O677xY025133slDDz1EZGQkmZmZPPHEE2RmZhIREcEPfvADsULn5OSwfv16Kisrqa2tJSQkhKamJmJiYjAYDGRkZIiWIiEhgbm5OeFJKrl5XFwcGo2GmpoaFhYWOHfuHKdPnyYlJUVapi+88AJHjx5l2bJlbNy4kaioKL7xjW8Al1fI/v5+FhYW6O/vJy8vj56eHqampsjKyqKhoQGPx0NERAQjIyPiHk1MTJR8jLi4OGJjY+VmSUxM5IknnhDfyMqVKzl8+DAajYavfOUr7Ny5k9tvv53GxkbefvttYVqoYt709DROpxOv10tCQgKhoaEYDAaB2CizncfjEcHY9PQ0k5OT0jKcnJxEq9XK7qW3t5dly5aRlZUlmhi1/e/t7RXOhtvtZnJykt7eXgkDSkpKEo9KX18fVqtVujZqBxocHCyaHY/Hg9PplGhFo9GIzWYjLi6ONWvWSFfqrbfe4ic/+ckfQHE+aJjN5g9kUnyc8bGk1n6/fxw4weXagfPdYwPvfhx+99MGgMT3fJkNsL/7uO19Hv+TxuTkJCtWrMBqtYo11uVyER4eztTUFCMjI1Jk6ujokGyKoqIiMjMz+eIXv0h0dDTV1dUS7Z6VlUV1dTVDQ0PccMMNBAcHMzs7i91uJz09nYSEBGmnpaenk52dzfbt27n66qspKSkRZZ1er6e3t5fu7m6effZZec27du2iqalJciPj4uIktTs/P19oRJGRkVxzzTVs3ryZgYEBiouLCQ4OZs+ePeh0OhHuKOGP3W6XgqHq0Ch7cEhICHq9nlWrVvGd73xHKvxq8pyeniY2NhadTsfIyAi1tbV84xvf4J//+Z8ZHx/H6XTS3d2N2+2mpqZGgoobGxul8BkRESFRfj09PYK6V7SnoKAgpqamJH0sICBA2qKTk5PcfvvtnDt3jrm5OSnmPffccyJCU8IvQFqNdrtdjmsVFRX4fD4JIvL5fOzZswej0chvfvMbysvLZWJaWFhgamqK2dlZ2b0FBwdL6HF6ejpWq5WhoSFaWlrkmFVUVMTWrVtpbGwUw5TBYBCH5vj4uAQOa7VakW2rPJGYmBjJBbVYLCIMc7vdeL1e7HY7y5cv5y/+4i8wmUxcvHiRoaEh9Ho9o6Oj/M3f/M0fvSd6e3tFrPenjj+6g9BoNFHAvN/vH9doNAZgG/B94DXgNuB773589d0veQ04oNFo/h8gnsvFyPN+v39Ro9FMvVvgrAT2Az/5U99AU1OT9O5zc3PlPKcq1TMzMxLOonYOSg+g8hoUv/LMmTNyjtTr9WJSKi4u5syZMxQXFzM1NUVERATx8fGsXbuWhIQEzp07x+DgIHa7nampKRYWFkhMTJQLLDc3l+HhYXnNBoNB+Is///nPGRoaoqGhgczMTHmNHR0dmM1mjEYj+fn5XHfddRw8eJDGxkZiY2NJTk6Wvn9oaCi/+c1vrtg5qWOKIlZHREQAl7McN2/ezC9+8Qs6Ojqw2+1ERUXR2NhIY2OjHMkUwzEjI4Onn34anU5HcHCwTMQ2m43vf//7hIeHs379erxeLxs3buTll1+mr68Ps9lMTU2N5J+azWaWL1/OkSNHJKA3MzOTRx55BIDCwkKmpqbEJDUyMgIgtGulFSksLOTChQsA0hq8dOkSCwsLFBYWcv78eVmFz549y9q1a8Wj0tvbK1Jk5ch0Op2i9tTpdPT19VFSUiJtTYvFQmJiIkFBQeLuzM7O5qabbqKhoYHy8nJSUlKIjY2VSSkwMJDm5mYiIiIwGAxUVlai1WrleGcwGMjKyroiLU3VPcLCwoTT0dvby4YNGxgeHmZxcZE333zzI90Tivr1aYyPsoOIA8o1Gk0dUMXlGsQhLk8M2zUaTTuw/d1/4/f7G4EXgCbgLeDed48oAPcA/8XlwmUn8NHe8YeMvLw8HA4HKSkpNDQ0/EFsnE6nY2pqShK1VSX/yJEjHDhwQKhOExMTsuWtrKyksLCQiYkJOjs70Wg0TE5OMjMzw9jYGL29vbS2tnLhwgUhP2/ZskXMPT6fj9tvvx2dTidMBpPJxKZNm/jlL38p/IMtW7Zgs9m44YYbmJmZoa6uTpyYb7zxBmfOnCEoKIikpCR27drFiRMn0Gq1tLS0YLVaWbVqldQlVAVdsSm0Wi3Dw8PCB1DOysXFRS5evEhqaiohISHiKFy7di0/+9nPrmgNpqam0tzczNzcHFFRUaSmpkrh89SpU2KvVylly5cv5+tf/zr33XefhOIcOXKEU6dO0dDQQFdXF2FhYfh8Pjo7O3nyySeFHGUwGKSVOz8/L/6NiIgIampqCAwMlHau2pLX19fLkSI/P5/29nZaW1tFJaqCcdQRKCYmhtnZWQHcBAQEsLS0JFbq/Px8sZRHRUVRV1dHQ0MDZ86coa+vj8LCQiIiIgRJmJWVxV133UVZWRlFRUWiclX1GKvVSkVFBS0tLdIG93g8kgE6OztLT08P/f39REdHYzKZJIf1iSeeYG5ujs7OTmJiYli3bt1Hvic+LREXfIQdhN/vrwOK3+fxUWDrB3zNvwD/8j6PVwMf3ZD/EYbT6SQlJQWn0ynuurm5OdasWUNTUxM6nU4q6jqdTtgQytS0tLREQkICDoeDzs5OhoeHSUpKYmxsjD179nDw4EFiYmKIiorizJkzaDQaoqKimJmZEZuu2hr6/X62bt3K4OAgb775pngDzp07x+zsrKQ4/fa3v2VkZIRDhw4RExPD6tWrOXz4sLRgFxYW6O7upru7m+XLl2M0GmVLunHjRurr6yUb49ChQ/T39xMQEEBiYiIdHR3ynlRehLqJFEOyra2NmJgYMjMzBSSr2BDf+c53+O1vf8v4+Dh1dXV0d3eTn58v3g6l5CsvL5dczZCQEDGvqe+XmZlJe3s7gYGBuN1uqqqqGB4eZnBwUGToCsaqyNaDg4OYzeYrErQiIyPF+RoQEMBbb70lu5KhoSHCw8Pp6uqSuAIVX7i4uEh7e7uEGycmJhIXF8fIyIi0aScnJ9HpdGKHVzWI6Ohoamtrhcrd09PDwMCAdH42bdpESkoKZrNZXrfVasXj8bBp0yZx0JaXl1NVVUVhYSFer1cKo3l5eeh0OhoaGoTBMTs7S3Z2tuxQQ0JCeP755wkJCeHChQuMjY1x8803f5q3zkcaf/ZKyvz8fC5evCgEqKioKObn52lvb8diseD1eqXNpHiTSlJbUFAgsXv79u3jxIkTYvI6duwYPT09GAwGhoeHxYPR0dHB9PQ0PT09BAUFcfr0aRwOB9dddx3Dw8O8/fbb5OXlUVtbS3x8PHq9nrKyMqlhvPPOOyxbtkyIxD6fj9raWmpqalixYoWE2C4uLnL99deLjHzz5s3cd999dHR0iG28ra2N+vp6KUb19PSg1Wql8KaoUcPDw/T39zM0NERaWhpdXV3ccsstrFy5ktHRUe655x7Wrl0rXM3rr7+e733ve2Jw6+rqEqGZmkhjY2PJyspidnaWwMBAGhsb2bJlC2azGY/Hw759++jr66Ovr4/MzEwsFgs+n0/Uner3pHZ3oaGhbNq0icHBQaanpwVbp5D6gYGBcozLzMwUtJrD4ZDP9Xq9cixS3QVV41F4N4PBgM/nIyYmRiILlMCstLRUMlbfeOMNdu3axZEjR6TrcubMGbxeL2fPniUyMpKCggKuvfZaAgMDBZqjbPY9PT3Y7XYBGcXGxqLRaFi5cqXItkNCQhgfHycnJ4fY2FhWr15NXFwcp06dwuFwYDQar2ghp6Sk0NPT84H3wqpVqxgaGpL276cxAt8Pmvl/0/j5z3/+qHL8/f649dZbpXClou5cLhdzc3Nyo6itnLLL2mw2mpubZWu5tLQkQpvAwECGhobYtWsXRUVFHD58WFaN0tJSwbM7HA7pXJSWlpKamordbueaa67h17/+taxkSq6t1+tFlvzkk09KHzw1NZW2tjaam5uJjo4mLCwMu91OQ0MDLpdL0sMvXbpEcHCwHAuUyOZ3v/udXPCK6K1k3gqSk5GRQXp6OnV1dRI1Nz4+LkUvJa4qLy/HYrEQEBDAqVOnGBoaora2ltWrV+N0OomNjWVgYEAKkcXFxWzevJmWlhZqa2slt/Saa67BbDZjsVjYsGGDFIq1Wi25ubksLi7Kv/v7+yWDUoX6LiwskJSUJJi30dFRBgYGcDgcwp5wu90sLS0xNzcnYBzl9VC1AwXtWVxcJDExUboaHo8HjUYj7laljkxISCA7O5vh4WEGBgaYn5+nqqqKdevWCdNU8TgVb2RqaorPfe5zYhlXHYdnnnmG+vp6qQUpA1pqaioLCwu0tLSg1+vF/h4ZGYnNZuPEiRPMzMxwyy23CH1dtcNV6voDDzzwgfeKKqx/XLzet7/9bcejjz768/f7vz/rCeLZZ5/F4/GQnJws/ni32y05lIDQlVXxqL+/n/z8fMG9q6QiBZTJzc2lqakJk8kkUXPKHq2ISLm5uYyNjVFYWEh1dbWg4nt7e+nt7RVdRnd3tzhNFaLswoULGI1GIiMj2b59u5ixjEYjaWlpBAcH43a7pViVmZlJeHi4CGSio6NxOBwcPnwYt9st52El4lFbcYW/a2lpISAggAcffFBWf4vFQkJCgqR22+12urq6uPrqqwWoC5cdsQUFBczMzFBQUEBVVRXx8fHs2rWLwMBAYSMqmvjMzAzbtm2TinxCQgLr168nMDCQo0ePMj09LdxLJTZS2Rnq+RRkRrVd1c9RZZso0VtycjLBwcF4vV6hL6kd5NLSEvPz87jdbikOKoSd1+sVT05gYKCwPZOTk0W4lpCQIJ0apUZ1uVzMzMxI8rnL5WL58uWkpaVJvoniS1RXV9PZ2YnRaGRqagqj0UhSUpKI11Tgbm5uLomJieJGDQ8Pp7KykvHxcfbs2YPVaqWkpIS4uDh6e3ux2WzccsstH3ivfPOb3/zYZCv48Aniz5oolZOTQ2RkJNHR0eTk5IiYSGHAFLxEFeuUBFhF0TU1NZGVlYXVapWevaI1X7hwQUxNKnVZUZSysrLo7u7m/PnzrFmzRrol6hetLvr3Ql9vuOEG3G43e/bskfP1sWPHiIyMJCYmBp1OR319PTMzM3z5y1/GarVSX1/PmTNn5AJzOp1MT09z5swZybeYn58XIZUKp4mMjAQuC4diYmIE0vLoo49y//33ExcXJ2HGyn26bNkyiouLWbFiBatXr+bkyZNydt6xYwd1dXVERkaK1VwV09LS0li/fr2g/GdmZuTIs7S0JME1v/zlL6UFC9DZ2cn09DTr169n7dq1mEwmOjo6OHnyJJWVlfT39+PxeFhaWiIyMpKoqChSUlLIzMyUzk1+fj5LS0ukpqayfPlyli1bxtLSkjAV1EQxNTUlGaSq86GONWazmdLSUgwGA+fOncPn81FRUUFoaKjIyZVaV/laVNzAxMQEBw8exO12Ex0dTW9vr4jRFNovJCREOJEqXSwpKYlrr71W2JvR0dH09/ezadMmiouLOXDggKhaw8PDuffeezl16tQHdjEKCgooKSn5k9D+HzT+rGsQLS0tpKWlidtNXaAqaCQsLEwq9263WwREer1eVtxjx46JaAUue/FTUlLkQlbFNEU0yszMpLy8nLS0NF566SXMZjM7duxgeHiY1tZWiouLOX/+PB0dHXIunpiY4OLFi+LiVIYmxTV0OBzo9XpZ/fr7+5mfn+emm25i7dq1uN1u4uPj5RjR2Ngo6WAq+1O1cwFpk42Ojor+4Yc//CFf//rX2b17N9deey3d3d1UVFTQ09Mj5qpnn32W22+/XXIwXS4Xzc3NaDQa2traJMQ3NjaWkydP8tWvfpXHHnsMu93Otm3bMBgMPPXUUyQnJzM9Pc0XvvAFuTGio6P527/9W4aGhnjrrbcICAgQ4I4Ko01OThaL9djYmBydlMw5LCxMoDMqW1SF5NhsNnQ6HSdPnpSJXtVDlDBKmc5mZmaEL5qcnEx6ejptbW2YzWZmZmbECj8/P09NTY1oPCwWC2NjYwQHB7Np0yZ6e3sxGAx0dXWJ/0K9/tTUVCFzqR2TXq/HZDKRn5/P5OQkmZmZbNu2DYCNGzfS39/PV77yFf7xH//xY90HAwMDwq/4tMef9QTh9/upra0lLS2NixcvUlpaisvlYmRkBLPZTF9f3xXy37m5ORGrLCwsiGAmPDwcu91OeHg4LpcLjUYjSkSbzYbL5WJ6ehqr1SpbzZycHEnYVjj6tLQ03nnnHTZv3szIyAjR0dHExcWJrXpubo4DBw7IGTcsLEykylqtluXLl0unJCgoiObmZrKystDpdKIUfeaZZ0QpqARGasusYKrq/U9PT0vnprS0lOeff55bb71VSNVr1qzh85//PC+++CLHjh0TXN61117Ltddey2OPPYbZbKa7u5vR0VFmZmZYWFigqKhICqw7duzA4XBIEfbkyZPyfArOoxK+FxcXSUlJYe/evXzxi1+kq6uLixcvUltbKz4Jo9EocvjJyUnm5uakUOv3+2XCN5vNUkNQzx0VFSVCJKVsVBOB2mktLS1JiLBy+6rCqVJRqm6L2pWprkpiYqIUGFW2B1wWtNXW1rJu3Tr0ej3Z2dlSJFdDBdr8fn6oGhUVFfzLv/zLx+Y6hIeHyyKgGKKf5vizniBUToMSIZ06dYoVK1ZIZVyZn5TsVNUjAPFhhIWFyQ2qNBPt7e1cddVVDAwMiDQ7Pz9fClhut5vR0VFuueUWlpaWOHv2rNjDb7nlFpH/BgUFcf78ebxeL21tbezfv58f/ehHANx5552Sa2k0GnG5XFy6dAm3283q1auJiYmhr6+PhoYG2ZortqYy+rwXJafVaiWzU/1ddTNmZmaorKwkPDycxx9/nLvuuksoTyaTic9//vM1XC3EAAAgAElEQVQsLi5K6vnx48fx+Xy0traydu1a6uvrcbvdsit55plnyM7O5je/+c0VDIzY2Fh6e3tZv369SLp37tyJyWSSXE+F41c5mcXFxQwNDXHy5EkaGxtF+ap0EFNTU7K7U6rPwsJCrFYrBQUFjI+Pc/DgQQYHB4mPj5dis/p9K8Gb2vorf87S0hJxcXFMTk7S0dEhxeeOjg7Zlamg402bNpGRkSGTg8PhEPHd8PAwfr9ffBkAZWVleDweAgICSElJob29nYmJCZYtW/ah1/PHOSIowLEqnCr+xAMPPPCpkqX+rCcIuKyKjI+PJyAgAJPJRHNzM3FxcVgsFpGoqhVDuTYnJiYkqk3VDpSwR+U7qAQor9crzky1TVT8ib6+Ptrb20WJ6Ha7SU9P56abbuKBBx7g5ZdfJiAgQJKp16xZI687ISGB5ORkTp06JSxEFdB76dIl7r77bumBK3v6uXPnJJFap9PJWVqZftQZWZ3N4TLr0eVyUVtbS2xsLPHx8fzDP/wDUVFRUgzTarWsXr2a6OhoXnnlFeLi4njjjTf4/Oc/D8DNN9+MXq/n+eefJyYmRmz1SnylCnPbtm1jx44dYrOurq7mzJkzkiFqNpuFjqSYimqXdv3117Np0yapOYyMjIhseXx8nK1bt7J69Wpqa2uZmJhgcnKStrY2SkpKpJC6tLTE8uXL6erqYnh4GJPJJD+HwMBAoqOjsdlscuafmJgQPL9C9atuh4pE8Pl8aDQaWltbxQmrWq8KT1dbW8vVV19NYmIiSUlJJCUl8bnPfY5HH32UxcVFCgsLaW1t5eTJkx94HW/ZskXwcR9ldHd3S4Fa8TKATx0792c9Qfj9fsGSWywWsVo7HA5CQ0MJCgoS5d7s7CwGg0Gs4crTPz4+LuRpk8kkEFMlvJmamhJPg8Vikcg4hSJTWZPqe8zPz/Pkk0+Snp4uF+Lk5KSwDdXo7OwU7qWKz9uyZQujo6PiGNXr9eTm5hIeHs7AwIBg1VRSmN/vx+/3o9ForqjMm0wmETUpjYBiKtpsNp577jlycnIYGBhg3bp1hIeH09LSwsTEBPn5+WLRVlAcJdRSWRPbt2/n5MmTUr9Q3Z6dO3fS1tbGqVOnaGlpYXh4mImJCc6fP09hYSFFRUUMDQ2RmZkp1CbVgjYajZL0rYxlqampUpdQcNzi/5e6Nw+L+j7XuO/ZGGCYgYEZmAGGAYZhB9lUREHBaOKSxCxmMaa11bZJ2jRterVp2pyT7dg2ST1p7UnfJjGLadI0Ro0xsWpdIiqCgsi+78OwzMIMDMswwMz7h3meg9E2Seu53tfvdXmpowzDzO/3XZ7nvj93djbeeecdtLS0sOgtLCwMFouF6xjUyiS9i1QqZd4lAWGJhk3U7crKSv5ZNBoN7HY7HnjgAVRVVXF0AhXCvV4vi+zoyEJ5KvMH7ZiGh4dZrPePxledHO677z6cPXsWMzMzvAu79dZbv+ad89XHDd3FIC8CSWZlMhncbjeCgoLYnyEUCmEwGCASiTj+zWAwICUlBf39/SzgEQqFUCqV7Lqji5WCgIeHhzE8PAyFQsFts6amJsTExMBut0On08Fms+Gzzz5Df38/Lly4wNzKtLQ05Ofn43/+53/4tVMIzeDgIHMhu7q6uE164MABOBwO6PV6SCQSHD16FEFBQVzco2MFAK5nCAQC7rBQoM3+/fvR1tbGk9/Zs2dhNBphMBgQExPDKkpiMFINQaFQoLe3FwMDA9i9eze6urrg9XqhUCgwMjKCzs5OXh3JKt3a2ooDBw7g1KlTGBsbY1bEhx9+iJdeeglPPPEEnn32Wfz617/GW2+9xcch4ndQCxQAB8IAl7sxXV1dXEtYu3YtU5n6+/vR3NyMrKwsuN1uTE9Pc7GXErGpbUqS+ujoaPj7+3N+aGFhIUJDQ1FYWIhHH30UP/7xj7FkyRL85Cc/wfvvvw+ZTIasrCz09PRwm3XBggVcEyGPxReTsl588UXY7XZYrVZ0dHQwS/LfGcQOpWT0zZs3Y8eOHf/Wc/6zcUPvIIg3ScWioKAg2Gw2Dt+lHvnY2BhXtAmPT8cN2n0A4OSk4eFhBAcH80oTFBQEl8sFk8nEstqBgQHOUKAV2Ov1IjExEQMDA4iMjERpaSnflKmpqViwYAEAYO/evYxfdzqd7EZcs2YNhoaGsH//fn6tbrcbhw8f5io8EZWo/QZcLk6Oj48jKioKPp+PdQXj4+Pc/YiMjERUVBS3OGdnZxmXToxHu92OwMBAnD59mv0LXq+XGRaBgYFISkrC3//+dwiFQtxyyy3QaDSYmppiMVBCQgICAwPR2trKKdgkrQYun5Xr6+uRnZ2Nd999F5s2bcLg4CDi4uKYfE1FWuBy3SE3N5czKcRiMZKSklBRUcFdEvoZCDRMhjnyXMx/jyYmJmCxWJCTk4OtW7fCaDRiamoKS5YsgcViQV5eHu8iaLzxxhtYtWoVvF4vBwjPzc1xV8Pn8+HixYv8ecwfdJ1IpVJER0ejvb0dCoUCOp0OUVFR/1I0nkgkQlxc3L8c2PN1xg07QaxcuRKpqanw+XxXyJb9/PzYiENp0mKxmIUzdOQICwtDREQExsfH2cZcUFDAFffe3l7mJ1gsFkRFRUGpVLKIiFBlVHQjW7PZbEZYWBiba2gbOzY2hlOnTqGmpoZbsHFxcVCr1fB4PFAoFDh//jzuueceVFdXs0+irKwMzc3NDN2lVClymlK7T6VSQa/XIzo6GmfPnkV3dzfUajXy8/NhtVqRkZEBg8GAiYkJLF++HI2NjZBKpZiamoLRaMTg4CAsFgsmJycxMTGB7OxsjrkTCAQYHh6GWq1GTk4Opqam+Hu1t7ejoKAA3d3diIiIgMvlQldXFxwOB5KTk2Gz2RAQEACZTMY7OvKHvP/++8jMzMT777+PjIwMlJSUcMYlMRoIBQ8AISEhGB8f579/4xvfwBtvvMG2dQLCUj2C3JJyuZyjCAQCAe6++24mWwUHByMxMRF2ux0nTpzAvn378JOf/OQqw9Py5cvR3NzMfp25uTlERkYiJycH3d3dmJ2dxcjIyFXXqUgk4gi9iIgIDAwMsAEvPz//K1/vy5cvZ+/Gtb7P/9W4YScIoVCIiooK6PV6+Hw+eDweuFwupKeno6GhgdOa9Ho9Ojs7ER0djdjYWExNTbH/nvBeer0eAwMDTGkirT6t1LRCzS/8EXOBnJ5ksSXF5dGjR7kuQtVtCmJRKpVQKpWciu3xeBAWFobHH38cVquVuwmBgYEoLS3lFYh2D9TvpolCKpVCJpNhYmICY2Nj2Lp1K2w2GxQKBT777DOu1lPw7IULF5iQTIIpAMjKysKuXbuQmpqKsbExxMXFsTDo4MGDKCkpgVAoxNKlSznB22g0oqamBocPH8a2bduYKTk3NwetVosHH3wQ+/fvx9zcHIuPHA4H2tvb4XK5cM8993CbTiKR4K9//Sv8/PyQkpKC6OhomEwmvPDCC/y5T05OsiV+5cqVzNUwmUy886DuzdzcHO/CiNYUERGBRx55hJ/vBz/4ATZv3ozY2FjExMRg48aNAMCfGXA5E+Puu++GQqGAx+NBT08PxsbGOIHd398fVquV1bs0amtrmT5GBe41a9agp6cHPp8PnZ2d2LJlC95+++0rvu4//uM/8Pzzz6OkpISJV6Wlpf/2PfOvjBt2gqDVnShFExMTfBZUKpXwer2Qy+VspJmZmUFoaCgnPAGXcXVTU1NQqVQcIOvz+SCRSNgp6O/vz0Yw4HJsPR1Z5m+FaUtLFKf55iACuwYHB/PKmJKSgrm5ORQXF+PEiRMcKpufnw+xWMxJ3XQ+pw7F/MkBwBX6AkLKV1dXIzExEcnJyQgKCsJnn32GpqYmnDlzBkqlEoGBgazLyM/PR0BAAINzfT4fKzv7+/thtVqxbt06LFu2DNXV1di/fz/vOEjMRNh2l8sFtVqN8vJyLFu2DHFxcairq+NwZfI0KJVK2O12AJeFaXFxcVi1ahX27NnDOoGOjg5OFZ8/QRw5cgTf+MY3AFyuvTz88MO4cOECEhMTUVZWBplMhrCwMBZIAf8r4Y6Kiroqq5LqQiaTiScHem4aXV1dkEqlcLvdfH3MzMxg0aJFcDqdmJycZJt5a2srrFYrpFIpQkJCkJ2djWPHjrHmRSwWIycnBzKZDL29vfjggw+Ql5eH3NxcTExMwOPxwOv1YuXKldDpdIwC/P9q3LAThMVi4eq6yWSCv78/AgMDuQNBY3JyksVS9AFQlP3MzAyjxaVSKUZHR9n8FB4eDofDgampKYbPOJ1OJCQksD1YJBLBZrOxqYYs2GNjYwwepW3u8PAwpqammMJttVoxPDzMr8PPzw+lpaXcKaELzt/fn3cx1IKj4h1weQJKT0/nrg0lXZHBZ+HChaipqYHNZmMlYV5eHhQKBeP/yaVJ0XZTU1PweDw4duwYvF4vzp8/j9zcXJYxnzlzhsNj+/v7MTQ0xNL2Tz75hG3fNpsNZrMZBoOBg49DQ0OxcOFCVFZWQiqVYnJyEr29vTh37hxaW1vZ4EQTiMFguOJzp10cDYFAgF/96lfYs2cPT4ZOpxNZWVlobm7mgGZ6jV8sJNJ46623rlAwUpemuroaYrEYLpcLSqXyCqS9QqFAQUEBtFottFotRCIRGhoaoFar2XNx6623IicnBx9++CEUCgUqKirQ1NSEm266CRkZGaitrUVFRQWio6PR0NCAlJQUBAQEIDMzE7Ozs6yb+Srj/vvvv4Jcdj3GDTtBUFR9X18fwsPDMTo6CqlUirGxMdbqDw8Ps/7e7XZDLBYzim5ycpLpS9TdIKkteS8IRkrOQNIjqNVqvmC0Wi2sVis7Af38/KDVajE0NASfzwd/f3/4fD4UFRXhgw8+gEajweDgINcUOjo6sGTJErS2tkKpVLLHwul04uOPP+bELACsqSCkOgDO8SCrc1NTEyP833zzTXR2dqKoqAgGgwE2mw29vb3YsGEDamtr2WRGxVKlUon29naMj4/zDarT6dDb24u5uTlYLBZs2bIF7733HlJSUiCXy7F37142NFH3xOl0IikpCZ988gm7LTUaDRuchoaGkJycjPLycpaIv/3225DJZKzWtNlsEIlEV5mPUlNT2RSnVquhVCqh0WjgdruRlpYGqVTKoc3x8fFMKdfpdGzwutY4fvz4FRMEuUipCD07O4szZ87AYDDg8OHDuHjxInw+HyoqKrB582ZWgKrVaigUCtTX1/NxMDY2Ft/61rdYVg0AGzduxNTUFC9ITU1NWLlyJfz8/GCz2VBeXs47oK867HY7cnJyrmtexg07QVDFeW5uDv39/YiOjubCHbkESS9AuYt6vR79/f18Q9GEIBaLMTw8zOdqoVDIxxUqIOp0OvT19V2BS6cCo1KphFwu5/Omw+Hg44TX60V7ezv0ej1sNhukUimDRghRNj09Da1Wy+dzu92OgoICAGCDzqpVq3i343a7uVjpcDhw5MgROJ1OREZGIiIiAkFBQYiMjISfnx/OnTuHmpoafPvb38bx48dRW1sLg8EAi8XCyeJE2jp79ixbzicnJxEWFobh4WGEhITwToqEZvTekRp1cnISL7/8MkZGRrBhwwZ89tlnKCgowPDwMMxmM5YsWYIlS5agv78fK1aswM6dOzEzM8O2c5KEkwKUDG3T09NcZwoICMBHH33ESD8KNxYKhfjOd76D5557DuPj44iNjWXBVWpqKiYnJxEZGQmtVnvVjgQAvvvd7161M+no6MDIyAgCAgJgMpnYZm80GnH48GEudufk5GBwcBB2ux3nz5/Hj370I4YIk8juWgrKDz/8EA888ABL8knaT+8Hmcq+bDz22GO8Ax0cHER0dDTy8/NRUVHxte+pa40bdoKIiYlBVVUVFixYgJmZGTQ1NbHfnkw+wcHBsFgscDgc7D4UCAR87HA4HAgICMDY2Bj0ej0LrQjiSpp+q9WKpKQkOBwO3nX4fD709/fDbrdDoVCgrq4OUqmUV3eS+pKfgAxFIpEIKpUK7e3trP5MSUnBxYsXUVxcjIqKCixYsABjY2NX/LwkhqIuCj1WW1vLxxiHw8ETGXlG0tPT0djYiJGREVitVqxdu5adkrTiq9VqBAYG4tZbb4Ver0dHRweam5t5u0+TwujoKNra2qDRaFBZWYn09HTedrvdbvT397NIy9/fH93d3bBarXxmp+NNeXk5tFotH5coJXx0dJQ9JiTdppYseSxKS0uh1+sRFhYGjUbDTku1Wo1HH30U27Ztg0KhQFJSEtxuN6ampnDgwAGuQQQGBmL37t3YvXs3v4/kxVi2bBmTnbxeL8xmMwICApCSkgKLxcI8TGqBklaDul4ejwcHDhxAamoqBgYGMDExAT8/v38osR4dHcXIyAibB00mE+688060tbVhcnISN9988zW/DgDWr1/PPqLu7m4oFAp+H8xm879za10xbtgJgi5u6jzExMTw9tRqtUKv18NqtXLMPX2NUqlk7YNQKMT09DRnSBJvkVZ+Pz8/1hsMDg7yjU+iHpPJBJfLBZFIxJoIUm8GBATwc5CbUCQScTW6uLiYdwNnzpzBkiVLOMvT5/NdAbkFwCxFolnTRKFSqZjqNDs7C4vFAplMBpVKhf7+fhw5cgQSiQRtbW3cAhaJRLBYLBgfH4dMJmNjUkNDA/r7+2GxWBgQQy1Cqqe8+eabrD159dVXGXNvMBgwNDSEm2++GWVlZWy1Hxsbw1133QWTycQdpcrKSmRmZsJkMrGLMigo6Cr/yMzMDKKjo1FYWMgTyNGjRzE2NoaJiQk8/fTTWLp0KXcrkpKSsHnzZpw6dYrfE7lcjttuu41rT7SjePHFF9HZ2cnxhlarFd3d3QgKCuJEM6pfUNJaTU0NTCYTCgsLUV1dzXEBbrcb4eHhGBsbQ0NDA1pbW9HU1ISEhAQ0NzejqKjomtdwQEAAJBIJ9Ho96urqIBQK+VrYu3cvnE4nHnvssWvWIWiXRLmsZBcQCoVIT79+VMcbdoKQyWQsJ7bb7TAajYzaSktLY6GRWCxm9WNfXx8jwagN193dzWpKYivSDsHlcsFsNmN2dhYOhwMqlQoBAQFs4RYKhUyPotmcpLWUCE1ajIyMDHYs0oiJicHp06ehVquxYcMGvPfee1CpVBgdHb2iig5cDhweGxuDXC7nVCraAVHxjZiHQqEQdXV1AMB1l1OnTiE7OxunT59GQUEBEhMT4fF4UFlZiZCQEFRUVPB7Rr8orLevr48BOnl5eWhoaOD3gLiRQ0ND0Ov1DGRRKBRITExES0sL77x6enpgNpsRGxvLjNDU1FRWbQYHB2Nubo5ds+Hh4aisrER5eTnEYjH0ej3Cw8Pxne98B6Ojo3j77bcRGBiIzMxMuN1uSKVSbNu2DWvXrsVvf/tbpKencwfLZrOxK9VkMqG1tRU6nY65m2NjY0yJoiAbAs9OTU2hoaHhikAjOmbJZDLOvwgICGBielpaGjweDwYHB//hNXzy5EkUFhaivr6egbrt7e2QSCQoLi7mvI/777+fW7VarRZBQUGIiIjA9PQ0TCYT+vv7ERUVBZFIhIGBgX9JfPWPxg07QRD/TygUMqdPKBQiPDwcKpUKYrEYarWa0fZUjxgYGGBSEGVGUM2AoLK0+pOScnx8nPvrVNFWqVRMARoZGYFYLOZaB7VZ/f39uc05NDQEjUaDtWvX4m9/+xvi4+PhdDphMBggk8nw1ltvQSaT4bnnngNwOZR4/iBJudvtZo4iTQq0U6HAGqp1iEQiJCcnc2CLTCaDTqdjdJxQKITZbObK/6JFi3hVowmC2scCgYBvivT0dHz22WdMwCb7Op3HFQoF1qxZg6SkJCxZsoTDkE0mE4KDgxEcHIyDBw/yDdrZ2QmXy4UHH3wQJ0+ehFgsxl133cUhMWfPnsWqVavw1ltv4YknnsCTTz4JgUCAhoYGPPfcc9i0aRMHFCmVSoSGhnKWCS0AjY2NOH/+PIDLlnI6Frjdbj7zU91DKBTybk2n03GAr7+/P/R6PQYHB6HT6aDT6VimT3b82NhYjh+g5/hHIyEhAV1dXdBoNHC5XAwXJj0F6T2oxTqfkkWviY7RxFu9nsh74AadIFavXo3g4GAOWAkLC2NCkdfrxdDQEGseqONAtt/k5GTGiQFAZGQkA0Sp6wCAPQoSiYR3GHSjaLVazM7OIjAwkM/PlPg9OzvLRxdykUZHR/OKPzc3hzVr1jCzkhDzMzMzV9QdXC4XnnjiCbzwwgt46qmnOEfBbDZzEA5dSFSfCAsL41qHzWbjHYBEIuFEJwrGdTgcKCsrw/PPP48//elPKCkpgcfjwcqVK6HX66FSqdikJhKJEBISgvr6epw4cQJdXV2Ijo5mRapGo4FGo4HBYMC+ffuu+KxOnDjB76nJZOK6TEREBCorK7leUVRUhP/+7//mrzt9+jRH6lEEntFoxMsvv4ysrCwkJiaioKAAdrsdExMT6O/vh9vtZhPaggUL8NFHHzGpi66NiYkJ5kQCuML/AYAnB6VSiejoaGg0GkgkEhiNRv58CM1PtYOMjAzMzc0hICCA32OLxQK73Q6LxYK1a9dekb4WFRXFVKmGhgY0NjZCIpFgenoaTqeTj6ler5eL7T6fD0qlEgKBAC6Xi0VyFAQ1NDTEbfrrOW7ICYJu2MjISFRVVcFoNEIul3MdQKVSsViFzDX9/f2QSqXo7u5mtPr09DTsdjtnZlACOFGFSDtB3EsqelG3hDwd82lFUVFRGBoawtzcHDtCCWxCNuG5uTkYDAb09fVx2hSBT2jo9XoMDw/jkUcegcfjYTiMWq1GZWUlOwnJ8ERcSIPBwD14qVTK7cWOjg4kJiZCr9djbm4OVVVVjIaPjY1lRSZdpMDlZDCHw8Fuzby8PCQlJfEKSdJ22qXNtx3T2LNnDxoaGvDLX/4SHR0d6OrqQmtrK7KyspCfnw+DwYDU1FQWotGwWq3YsWMH3njjDXzrW9/ChQsXUFxcjMHBQZw7dw6nT5/Gxo0bccsttzBcZmRkhOsFycnJOH/+PA4fPoyRkRFIJBIEBARAoVBAJpMx/n56epq5lGT2mpub4xoGrchTU1OQyWQMqnE6ncwq9fPzg0QigcfjgcfjgV6vh1Kp5BYtpX2FhYUxbXtiYgKRkZFYsGABMy6pxUk1FdrxUhL99PQ0FAoFTxSUARMTE8Ot5q/bGv2ycUNOEGRWqa+vR1FREUpLS1FUVASbzYbOzk4O7iWJdGJiIk6dOsUiIJ3ucjIguSBJ3ERuQQBISUmBy+WCTqfjo8j09PQV225iP8bHxzMZm6za1Hoi9uHo6CjTtgUCAQIDAxESEoKBgQHIZDJER0fD4XDgd7/7HbfKNBoN5y3Qqj+f+0CDLsz5u5xFixZxC7ilpYU5nUlJSejv74fL5YLBYMB7772HoKAgxMXFcX2jrq4O9fX1yMvLg06nw6VLlxAREQGNRoOamhqUlJRwS87lcnHqVHNzM9LS0q74rA4ePMi7ndTUVI4J8PPzw5kzZ+Dn5weTyXSVwIeoTtHR0Th06BDuvfdeTExMwGQy4ZNPPsHo6ChKS0uxZ88eNDc3Y82aNfx1dEzYvn07srKy8P7772NiYgLp6ek4evQoIiIiGCFP2DhimRLZnKhdQqEQoaGhzIugYOhLly5hfHz8qtf94x//mPECY2Nj7B+huhFZzimjJDw8HDk5OThy5AgAsMiM6kGE2JucnITD4QAADqMmha1cLueJn0KDrte4IScIs9mMqakpTE9PY2RkBIGBgUyLpjh2f39/DtIZGRnB0qVLOauCYCRUVBIIBByCSwyIsbExSCQSpvYQ5zAsLIx3KzKZjD8oupFJUWc2m5lJOTIywkUmjUbDlKqIiAgYDAbU1tbyyiKXy1lKTNFt9JqoXUrEqPnDZDJBoVDAbrdDqVQyGl4gECAvL495D/N9JuPj4zAYDDxREjeirq4OAQEBqKurY5rViRMnEB8fj3feeQfHjh3jydNsNnMBtbe3Fzt27EBHRweAyxmnAHDzzTejp6eHaVj0ekNCQiCXy1FTU3PVZ9zZ2Qk/Pz/U1NTAYDBg4cKFMJlMqKurY4Vpc3Mztm/fjqCgIJ4gCLtGLdPNmzfj9ttvx6lTp+ByuRAZGYnZ2VmsXr0aJ0+eZOxdSEgIUlJSMDs7i46ODmi1WjbzBQcHIzMzE/fffz+/vk8//RStra1Xve4f/vCHLLWnxaujowN+fn4smiPOxw9+8AP+ut/85jfIz8+HWq2GVCqFRCJBe3s7X9+kEibuKvldaPKg2tF8le31GIIvQi7+/zby8vJ8ZLGlUVRUxC7K2NhYTk8m9d/Y2BhmZ2eRkpJyRfxaT08PF/RoUE9dqVRy33pubg5ms5kzJUlpKBQK4fF4MDo6yqo8anFGRkbi3Llz8PPzQ2xsLOrr67moSe5EkmCnpqZi1apVqKqqgtvtRnp6OhOraSfT1tbG51q6UKmjQMYx2k6SP4BkxEqlEjExMUhNTUVbWxsGBwchFAoxPj4Om80Go9GIuLg4aLVaXLx4EZOTk0hNTYXD4UBfXx86OjqwcuVKCIVCVoWmpqbigw8+QGhoKAYHBzmkh0hbFEtfVlbG+SPzI/wIsKvVavHBBx/wTo5u9IGB/81xbmlpwU9/+lM+GiUlJeHPf/4zxsbG8NRTT7FDlnQX09PT6OrquurasVqtmJmZQVBQEJxOJytEZTIZA3hra2uZFNXZ2QmVSsVdJ5vNBq/Xi5qamiv8IF82rFYrHxdnZmbw2WefQSQSIT4+ntH/ISEhSE1N/YfP8d3vfpcTuqiuQe+lRCKB3W7ngjXBcOVyOaRSKV555ZWv/FoBQCAQXPT5fNeMDb8hgTFzc3MseGpra+PViAhEKSkpUCgUaGlpQV9fH4aGhuBwONh9mJmZiczMTOTl5UEulyM1NZUBM9SLJ9gpeQjIqEPkKZJuu9YWtSgAACAASURBVFwuProEBgbCZrPx14eGhrKrkKjVALiQ9MADDyAwMBCXLl3i3rvD4cDw8DDCwsKg1+vZZUg7EKqMU5iuUCjkbg1V4elmrK2t5XqCXC6HQqGAXq+HWCxGf38/GhsbmbI9P6x2wYIF3EL1+XwIDQ1lUjPF5Gm1WpalU/2FgmkjIiLwk5/8BHa7HcuXL4fH40FjYyPEYjHa29uxZs0alorT6jd/jI+PQyqVYmhoiDUGhKiLiYlBQUEB2tvb+Wf1+Xy4/fbbr7pOAgICWEjl8Xig0WhYHdrS0oKAgAAsXrwYhYWF0Gg0fIxpaGhgcE9CQgLuuuuur3V9EryIalXA/x4d2tracP78+aucn18cr732GgICAhAVFcWBPKTpoRpQcHAwGw1Jr/KPvCb/6rghjxgEgiFLNxUfaaWOiIiAn58fsyRjY2MRFxeHmJgYTExMoKurC1lZWZwCLpFIkJmZCZlMBj8/P2RkZKC3txd2u50Tu8mSTEpLpVLJBU3ydmi1WoyOjmLp0qWIjIzEhQsXIBKJuLgpl8sBXLYBWywWbNy4ET/72c+wfft2VFZWIiYmhjsDVquVU7+SkpKg1WrR3t6O8PBw9lQEBwezH4E6GJS+HRwcjLq6Oj5yENCWoCvh4eFcKFMoFDCbzfB6vUhNTUVISAjnUh45cgRPP/00zp07h8LCQrS3t2Pfvn3sNOzu7oZcLofVakVvby/8/f0RExOD+vp6pKSkcI1l7dq1HOJDv8tkMoyMjFxhrQaA1tZWjI+Pw2q1Arjc5mtqakJSUhJWrlyJ06dPM+iXmIwtLS1YunQpJiYm+MhC3Sm6XpxOJ+dQvPLKK6ivr8fKlSshEolw9uxZFBUV4aabboJYLEZvby+Ki4s54+LrjPLycixevJjl6IT+b2tr493foUOHrmCUXmssWrQIbW1tDDYeHBzE+Pg4P998zQod3QgWdL3GDTlBJCcnY2BgAFNTUwgODmadg8/nQ3h4OHw+H1JSUhAVFcWKPErDysnJgUajYSdmUVERZmZmuKWWmJgIPz8/5OTkwOfzcWKU1WqFUChEZ2cnb+eio6O5H/3xxx+zICcoKAh33XUX/P398d5772FgYIBrIrT9y8nJgU6nQ3FxMce8NzQ0QC6XQyaTsWnL4XCgtbUVERERrPdwOBzYuHEjcnNzERMTg5CQEO6Fv/3226iurma7c1BQEFpbW1kYRhoHSoKSy+VYt24dXnnlFUxNTTFXgaLy7rvvPo7WoyMCFQKpGJecnIx77rkHzz//PLRaLfr6+tjGXVxcjJ07dyIjIwNmsxl6vR4tLS1sqSde58MPPwyxWIwzZ85g+fLlcDqd8Hq9TKmamJjA4OAgMjIy8OGHH/JESJb70NBQPnbSiIuLu4KNGR4eDp1OB7FYjNWrV+PEiRNwOp1wOBy47bbbMDAwwKnpwcHBaGlpQWdnJ5KSkhATE/OVr08yD5Ko6e6770ZNTQ2/9+fPn8e99977pc+zbds2OBwOTp6fz54kXMDs7CxHHQYHB8NkMn3l1/lVxg15xPDz80NCQgIKCgqQkpKC4uJi3HHHHZzBSG8WZTu6XC6kpaWxJHXRokWIj49HVlYWZmdnGamWlJSE8vJyDA4OQiQSoa+vjyEnSUlJSEtLQ0lJCfLz8xEWFsYIOABYunQphEIhBgcHsWPHDpSWlrJsmjwd88+GKpUKZWVlAMDMCfKQWCwWpKSkICEhAcnJyWhtbUVbWxs//4oVK5Cens7FQMqWDAkJwaOPPop7770XERERSExMRFBQEPfzyV0YGRkJg8HAhdH+/n4sXLgQRqOR+RKBgYHIyMhAXV0dDh48yJkiPT098Hg8bDjLzs5GTk4O2tvb2cBGO6b09HT09fUhPj4eOTk5aGhoQExMDAfl0uRAyL7KykqIxWIcOXKEgTl5eXnw8/NDcnIyTp06xQXhpUuXQiAQsH6Edhu0ktIQCoXQaDTIzs7m9jBRnqiGRMcoklvLZDL09PQgNzcXAQEBOHjwIMrLy7/y9UkSbBrR0dGQSCTo6uriQvbevXv/6XN0dXUxdiAlJeUq+tSiRYuQmJiImJgYGAwGDv+93uyIrzxBCAQCkUAguCQQCD79/O+hAoHgmEAgaP/8d+W8//ukQCDoEAgErQKB4OZ5j+cKBIL6z/9tp+BfjALS6XSwWCyYmpribALKUSDpK7kkg4ODWbI7NzfHRSm1Wo3IyEh4PB7+0KjWUF5ezsq23t5ebtPRjE3BqjSzOxwODo6lavPRo0eZGwHgKum0wWCAWq3GT3/6Uw7P0Wq1eOWVV/CHP/wBLS0t6O3tRXJyMpKTk9Hd3c1wG7vdjh07duCjjz7Cr3/9a3z88cfo6emByWSCWq3G97//fTz44IMICwtDamoqjEYj/Pz8oFAooNVquV2WlpbGztaRkRG+wQMDA6FUKlFWVobe3l4IBAIcP34cdXV1cLvdrFS85ZZbUFRUhNjYWN7lkNJvYmICRqMRXV1diIqKQmtrK2677TYcP34cVqsVfX19MBgMMBqNLOWmug61F0lfQPkXt956K3p6epCamgqr1cqr+szMDAcMnT59+or3mRyy/v7+yMjIQHNzM3w+HxITEyGTyWC321lI5vP5sG/fPg7UGRsbw8KFCxEbG4vGxsavfH1GRkayCpTG4OAgDAYDpFIp7r//fuTk5KCyshLNzc14+eWX0dfXhw8++AADAwP461//CovFAovFwn6QL2pMQkJCuNg5MzODrq4uXnCu5/g6O4jHAMzH8fwcwAmfz2cEcOLzv0MgEKQCuA9AGoBbAPxRIBBQ5eT/AfBdAMbPf93ydV/www8/zFZt6uVPT08jOjoaKpUK8fHxPNuGh4ejoKCAeQuTk5NIT0/nVd/n8zF2nsxIWVlZ8Hq96Onp4Ti9+fkT5BalwiOhzcm3ERERAZVKhbm5ORw+fJhdnV+U3Pr7++Ott97CSy+9xMi84OBg/neS3AYGBqK9vR1isRgWi4VFYAkJCYiKioJcLkdZWRn279+PyclJ1NXV4cSJE5xI5Xa7oVKpkJycjNHRUQwNDUGtViM8PJxbml1dXVzkWrJkCaKjo+Hn58fgGdrCjo+Pw2w2Y9myZVwgbmtrQ3h4OKampmAwGNDa2sosjbKyMvj7++PChQtobW2F3W5HS0sLlEolYmNjIZFIWCBFXQiFQsHvQ35+Pk8UarUak5OTyMrKgkAgQEdHBxYsWMA3SFtb21WtXwCor6/Hrl278Ktf/QoKhQK/+tWv8Mwzz+DSpUvYv38/duzYgffeew+ffvop1q1bhzVr1uDTTz/l7o3L5UJeXh5kMhnXJP6VQR0bKr5u3LgRAwMDkEqlKCkpwfT0NG6++WYEBgYiNzcXUVFRkMlk+Oijj5CVlXXV89EiSLGJ/0zS/e+Mr1SDEAgE0QDWAdgO4PHPH74dwIrP/7wbwCkAT3z++F99Pt80gG6BQNABYJFAIOgBoPD5fOWfP+c7ADYAuHYi6T8YJAaJjo7mToZOp4PL5eL0o+zsbFy6dAllZWXo7u7mVbK+vh7R0dHsu5iZmUFISAiv4BKJBBkZGRCLxairq0NFRQU0Gg1GR0cRGxvL6sTTp08jNTWVhSqNjY0wmUy86lDrmFKZaUWcP+bvKGiSmb8tTU1NhUgkQldXF7tJBQIBTp06hdnZWaSlpXF7leoB8/vmw8PDKCsrw4oVKzhYJzo6GhMTExCLxexe7e7uRlJSEouFgoKCMDAwwCnh8/NOfT4f9+RXrFiBCxcuoKenB3FxcZwdMTs7C39/f/a8OJ1OCAQC2Gw2NDU1QSQSIT8/H9HR0Th27BhTvgICAqDT6dizEh8fz/AZp9OJgYEB1mQsXLgQJ0+eZDMcidKGh4eveI8vXryIjz76CGlpaairq8OOHTsQHh6OuLg47N+/H42NjRzk88tf/hIJCQmcdn7p0iUUFxfD398fnZ2dqKurQ11dHaKiorB06VIEBgbyEY+Osv9sjIyMICYmhmME6GhGOR0VFRUc3UfXz9zc3FV5KjSovUwFTIo1uN7jqxYpfwfgZwDk8x6L8Pl8gwDg8/kGBQIBBQNGAZhPq+j//LGZz//8xce/1rDb7Rywu3btWigUClRXVzPRiKzCCQkJCA0NRUZGBg4dOgSlUgmn04m9e/fi3nvv5ePF568fYrGYZdTp6el45513EB4eDo1GgyVLluDYsWPYu3cv7rjjDtjtdlRUVECpVPLWltSGBKnt7e29AkojkUhQVFTEW+D5rT2KmJtPUh4YGMD27dsBAHfffTcToScmJtj739DQgJaWFqjVasTFxUEmk6Gjo4NpWYSK93q9GBsbY5Ul7X4sFgtngZDLlfwRtMOgQiSBdYHLQFcKSw4ICEBDQwOioqJQXV2NlJQUmM1mKJVKmM1mTE5O4tKlS7z7oroEHQ+p6j4xMcEuz8DAQJa/x8fHw2AwYGpqCqWlpViyZAlzRuvq6viYQJqV+eO9996Dv78/Ll68yI7etrY2dHV1sVyZtC8kkT927BhOnz6NkZERnDlzBgqFAhEREaioqEBkZCRcLhc6Ojr4SEIy/C8bVCwl78SePXvw0EMPMVIwKyuL9TuknvTz88OJEyeuWdCMi4vD2NgYo/wJknS9x5ceMQQCwXoAFp/Pd/ErPue16gq+f/L4tb7ndwUCQZVAIKii4hMNMitZrVacPHkS3d3dSExMRE5ODtLT01FcXMxpW7GxsVi/fj1MJhMGBga4AHj06FF0dHRAqVRienqa6wrksQeA7du3w+FwQKvVIiwsDGvXrr2CnnTkyBEkJCRgbm4Ohw4dglgshs/nQ3JyMm/9KOBEJpPBarUiPj4emzZtwiOPPILu7m4AlwnGMTEx6Ovrg1AoxB/+8Af88pe/vEI4tHfvXvaVkFaitraWE63JKEZF0+7ubq7u0+pLcXcqlYoLdUVFRZDJZFiwYAGEQiHrA8RiMRe9jEYjjEYjIiMjoVarkZGRwRqT1NRUzM7OIiYmBosXL0ZaWhoMBgPkcjmSkpK49Uw3bnh4OIfdnD17FvHx8ZDL5fD5fNi2bRvCw8Oh1+s5sIf8BcePH8f4+DgOHTqEkydPwul0ss1ZJBKxfuVaPoSYmBg4HA4MDAxAJBIhMTER+/btQ29vL4xGIx8XHQ4Hdu/ejb6+Pm5HUmboRx99hKqqKlgsFt4lkXAtIiICEokECoXiH94QZWVlXJMgxNyhQ4dYwHb27FmUlpaipqYGvb29eP755/GXv/wFcrmcO1dfHFlZWdxFIx/RFwu012N8lR3EUgC3CQSCtQD8ASgEAsG7AIYFAoH2892DFgARTvoB6OZ9fTSAgc8fj77G41cNn8/3GoDXgMtKyvn/Njw8DKPRyH3l1NRUJCQkQKFQsMNydnYWPT09HMork8l4JXU4HGhqakJVVRUyMjKQnp6OiYkJJCYmIjY2lnUOIpEIK1asQFVVFW89KbGaglppKzg+Ps6CIzpDTkxMYGhoiDFxJNgxm81obm6GWq3G+vXrmaFARwRqW23atOmq90UgECA9PZ1XRKFQiIyMDGRlZWF6ehoNDQ1wOBxcpafXRzdaU1MTUlJSAFzetVCtgYAyJPIiXwd1DORyOdxuNyoqKhATE4PVq1czat9oNKKuro45nv7+/iwnd7vdzDoICQmBv78/3G43lEolI+wmJiaQl5fH7ei2tjZWMhIbg9yjTqeTQbS0QzObzZBKpVAoFFcV8mZnZ1FeXg6VSoWBgQFG1M/P2pRIJHyOP3fuHCYnJzlS0WQywWKxMGmaSFd0PPT5fMyR+Gfj1VdfRVtbG8RiMex2O2ZmZuDz+fDkk0/iP//zP1m6X1ZWhpaWFvT09KCrqwu5ubmMHrzWtZCcnAy3242+vj72BV3v8aU7CJ/P96TP54v2+XyxuFx8POnz+TYDOAjgm5//t28C+PjzPx8EcJ9AIJAKBII4XC5GXvj8OOISCAT5n3cvvjHva77yuOmmm7BlyxZs3boVXq8XFRUVnIlBs6lMJoPBYEBhYSGsVivWr1/Pq8v09DSioqLgcDhw+vRp7NixAwcOHMCuXbtw6tQpVql5PB6sXbsW6enpOHXqFHbt2oUlS5ZAq9UiNDQUeXl58Pl8qKysZMISwVRHRkaYpE2rpkAg4BrDyMgI/v73v+PTTz/FK6+8gsDAQBgMBszNzWFwcBB9fX04evQofv7zn/PPTZ4POmKQrZwk1na7nYuNFCAzP7dTJBKxT6Wvrw8mk4mPDXTjUDuU6FBarRY///nPoVarMTIyAoPBgI6ODjQ1NXHMYENDA+x2O6/qlFU6OjqK2dlZpkZJJBJEREQgPz8f2dnZEIvF6O7u5hW8srISFy9exMjICKKjo9kCbTKZoFKpcPHiReaHdnd3w+l0su4hOTkZJpPpKkVmQUEBzpw5A7FYjMnJSfT19aGqqoonidDQUDbOhYeHY3x8nJ+XRG20A5yvryBCGXEcvmzodDqmn7lcLuaINDY28oJECW5k5y4uLkZVVRWWL1+O73znO3wt7Ny5E9/73vfQ29vL3FBaiGJjY7/u7fSl498RSv0GwB6BQLAVQB+AjQDg8/kaBQLBHgBNAGYBfN/n85GD5GEAbwMIwOXi5NcqUAKXydNDQ0MICwvDQw89hF27dmHnzp345je/iaioKIaaEJ3I6/UiPz8fr7/+OiYmJlgsQ+dq4HL6ldlsxrPPPotHH30UnZ2dyM/Ph1arRXZ2NgtqDhw4wK05SoI2m818pqVKP60Qs7OzLHsOCQnhm4ZMTDT+67/+64q/33vvvXC5XFfIcSmQx2q1wmAw8C4pKCgI586dg8fjgUAgYGn16Ogo70yohUtKS8q6JPS91+uFWCxGUFAQli5dyrsHpVIJn8+HRx55BP7+/jh06BAKCwthsVjY7djf38+6CaofUPI2Ea6Ki4uRl5cHj8cDk8kEk8kErVbL/MSAgABeqUNCQrj4NzMzA5lMBo/Hg46ODng8HoyMjODUqVMcSkwBzNcKx3U4HIiMjOS0b9JM6HQ67shIpVJERUVxMppKpUJkZCScTid3lig/lKT1ZJL6Z9F327ZtQ19fH8vfCTJTUFDAIU1BQUFob2+HSCRi2btGo0FeXh7KysqwYMECDA4OYmxsDMnJydi9ezdmZmag1WoxMzPDoJ2oqChejK73+FpCKZ/Pd8rn863//M92n8+30ufzGT//fWTe/9vu8/kMPp8vyefzHZ73eJXP50v//N9+4PsXnGJBQUFoamrCkSNHEBsbC6PRCLPZjKeffhq//e1vMTQ0xAIYAGxxXrVqFWw2G+x2O6qqqrB69WoGipIDTigUIiEhAXa7HZ9++inDRFasWAEAUKvVsNlsaG5uhlQqRXV1NTo6OviCI8flpUuX0NHRwRcvwVu+GH7zj8YHH3yArq4udHd3Y/HixQDAGgGaBLKyshAREQGBQMC4+ObmZj5mTU5OMmuRilhut5vBvVFRUWhqauJaiNVqRXZ2NusxiBh9/PhxhISEYOvWrXj55ZexefNm/OxnP4PT6WQhU1JSEiIiIjhSj24ukUiE6OhoyOVytLW1sa8FuGyS0+l0uOOOO2Cz2SCRSJCSksKK1eDgYHR2dkIoFCI7O5tDdI4fP87+C9oZUNhPS0sLsrOzeQKurKyEXC5HU1MT7HY77HY7BAIBTCYThoaGmBgVHByM2NhY6PV6yGQySCQSLFy4kFW15BImZy1xG/7Z2LVrFwcCUb0nNzeXIcEajQYhISHYvXs3IiIikJWVhdDQUFRUVCAkJAS9vb3sHAYut2v7+vrgcrlYWu12u3mC8Hg8KCkp+bq305eOG05qPTIyggceeAD19fX4/e9/jyeffBKPP/44h86eP38eu3btYgAIbdsee+wxtLa2or29Hf7+/rDZbJiammK2Q1BQEFuhk5KSIBAI8OSTT+Lhhx9GcnIyDAYDVq5ciYGBAWi1Wi78URVZoVDAarWy0Yjs4XSmJfMTgT9KSkr+aeR7TEwMmpqaMDs7i5ycHMbLUVx9eXk56y9Id0FFV1rFiQbtdDpRXFyM8+fPY/ny5UynEovFOH/+PDIzMzm0WCqVMvhWqVSirq4O5eXlyM/PZ/yaQqHAK6+8gjfeeAONjY3wer345JNPsGHDBgwNDXH72M/PDw888ACUSiX+8pe/wGw2s9WZhD7+/v5Yu3YtDh06xHwEu92OvLw89Pb2QiqVYt++fSwXJ79NQEAAAgICmBJGAboOhwNCoRDx8fFMWiLrOx0NyGlJLs74+HgEBQUhPT2dH6MAYuCy5sDr9SIgIIAn1K8yXn31VbS0tODxxx+/4vHf/OY3SEtLw/nz5+FwOPDHP/4Rd955J+bm5hAXF4fa2loYjUbY7XbExcVxYdpkMkEul/NuJjAwEDqdDg6H45rBwddjiJ555pn/kye+XuO111575rvf/S7/vbOzE6Ojo1i9ejUCAwPx5ptv4qGHHsKZM2cglUqZl7Bw4UK+CQQCAfz9/XHLLbdwSAl5F8jTQQnfd955J9LS0lBdXY3Q0FC888470Gq1KCoqQlBQEANFysrKYDKZuEiVlJSEjo4OllbTLoF+J8EPiaLkcjlee+01/OUvf2H+w/zR0dEBhULBhCF6LjLpAGAmpNfrRUtLCwuyKJE7JCSEdQeLFy9Genr6FRkKDz74IFOkw8LCcPHiRbS3t7O4KysrC35+fujq6uLQXplMBrfbjZCQECxevBglJSVYvHgxNBoNamtrERUVxSTqu+66C4sWLYJWq8W2bdsQFxeH2NhYuN1uFqb5+fkhOzsbExMTqKioYEgKOUjpeEAmNuKGTk9PMxxYoVBwh0cqlXKLlXiT81uHpIZVqVRYvnw5oqOjsWrVKqSkpCAyMpJ9J2Rlp5+1uroa3//+97/29Xut4uGyZcvwxhtvQKfTIS4ujtWncrmcg4hpEgAut4AJVUCKU6/Xi6SkJPZ2eDyeazpav8p49tlnB5955pnXrvVvN9QOoqamBsuXL8euXbsQHByMjIwM5Obm4qmnnuLVVCKRYNeuXQAue+rnAzQUCgV+9rOfYenSpXj77behUqmwb98+dnGSpdrn82HLli24ePEihEIhnn/+eaxduxYbN25koxaRgTweDzIyMmC326/4Xl88PYlEInz22WcoKSnhKr5SqcSBAweu+bNSKvV9992HN998k7kT/v7+fKGTcYz8DsDl1U6tVnOBMj09nSG3MpmMZcR1dXVYs2YNAgIC0Nvby3JjAHyRLly4EPHx8WhpaWGhFHVqqL7g7+8Po9EI4DIshWjQnZ2dCA8Px+zsLI4fP47MzEwUFBRgw4YN6O7uZuVnS0sLOjo6IBKJEBMTA4FAAIVCgdbWVv5M6P0jgRcAtlNTnUej0XA8YlNTE9xuN1vgAXDEodfrxapVq5CZmclxhZWVlVixYgWMRiNWrlzJxjCBQID4+HjeeVxrBAQEQK1W89H3qw6xWIxz585BJpNh4cKFDAEKDw+Hn58fHyXo+UtLS5GTk8OgISpUJycnXxHAfL3HDWXW0mg00Gq1uPPOO3H48GG8+OKLuHjxIr73ve9BoVBwgW5qagqvv/4651uSKpDO/7m5uXjuuedYlVdSUoKwsDCO8iNdRG5uLvLz8xESEoKjR4/yLE7bd4Kb6nS6L41kpy2gSqVi3wgJj641KPJPIBBgdnaWMzupODc3N4eZmRmYzWaYzWY4HA44nU72mJDalIJpaCvtdruRkZGBn//855xWnZCQwDsfj8eDd999F7t378aKFSswNTWFDRs24NixY5woRjuZ0tJS7i4AlwujBGWZnp6GSqXiLT+pMElRaDQamWXZ3t6O2tpa/rl7e3sZTU/HlSVLlvDRjVgbt912G0OHGxoaUFVVhfr6eggEAuY0Up0hLCwMUqkU99xzD5YtWwZ/f3/09/fj73//O1577TU89NBDDIhdunQpxGIxtFot3G43fvOb31zzM4qOjkZISAgyMzOvyjH5skHdF/oeNpsNw8PDsNvtsNlsfHwlxmVhYSEyMzOxZs0arpO4XC6ui1xvWC2/zv+TZ/0/GgQXycnJQXBwMH73u99hz5492L59O4qKihAREYFz584hODgYIpEIDz74IJYtW4YnnngCarUaDoeDZ2iNRoNnnnkGAwMDePfdd9HR0YGpqSm8+uqruP3222E0GvnDv/POO/Huu+9iYGAAQqEQzc3NcLlcLOs+ceIEF8uobfXFQUcN4jHMl1XTOHPmDAoLCwGAZdA5OTkAwL1ywtlHR0ejubkZcrkcUVFRLMwiHUNaWhqMRiPOnj0L4PIFSW3UxsZGZGVlYevWrcjLy2P6M9Uw5o89e/bg9ttvx6uvvoqamhqsWrWKM0JOnTqF5uZm3HTTTcjJyYHdbkdiYiIcDgdPfpQTQhqPqakppKamYu3atWhqamKZcH9/PwIDA7ktSzmkhHwj8OwXhXPvv/8+WltbERcXxzBbiUTCluvBwUHe9dAuoba2Fna7HUNDQ5icnIRarcbo6Ci2bt2K2267DSkpKdi8eTOqqqr+6SQ+OTmJBx54AFKpFBERESguLoZarcaePXu+9FqWSCQMLZZKpbxzpWucTHW5ubkIDg5GdnY2ZDIZq2Wjoi6LkIk0Pjs7i0cfffRLv+/XHTfUBPHKK6/ghz/8IXw+H2JiYvDSSy+hv78fU1NTWL58OYqLi6HT6XD06FGusl+6dAkPP/wwtmzZggULFkCj0WBmZoZXF41Ggy1btuDFF1/krS2ttCMjI1CpVLjjjjtQWlqKsrIy3HLLLaivr+ddid1uR1JSEoNhSURDdQJSZlJW4uTkJKsx5/fWAeDjjz/G008/DbFYjNtuuw12ux3Nzc1MLibUeW9vL7xeLwuEqMWXmZmJrKwsGAwGnDlzBjU1NZDL5VAqlbBarfj0009ZktzW1oapqSl0d3ejuroak5OTiIuLcFeqSQAAIABJREFUuyqjcnJyEpWVlRgbG8Px48cxNDQEj8eDRx55BOHh4RAKhfjkk09gNptx+vRphIaGMlT4/vvvx4IFC1BYWIgLFy4gKioKKpUKJpMJ4eHh+NGPfoT6+nocPnwYExMTCAsLQ09PDwQCAfR6/RWE7dDQUBQXF191TXi9Xtx6663429/+hvXr1zPBiiIPScQWERGBmpoanDt3Ds3NzQgNDcXw8DAiIiJYDOZ0OtHR0YFnn30Wr7/+OhYvXoz+/v6rvidwuaOVnZ3NeD65XM7fc/PmzXj33Xf5/65Zs4YzVoHLKt3Q0FDWtUgkEsTExHABko4SAwMDCAoK4noUXVtJSUkcDp2SkoLt27d/KaHqXx031ATR0dEBp9OJsLAwrtbHxcVxIMv09DS2bt2KTZs2YdeuXTh06BCAy9Xql156CZGRkXjvvfd4hZ+ammIoC52/e3t7MTw8jIULF8Lr9XKQzrZt23Dy5Em0trZy8dDpdCI6OhperxdPPvkkzGYzdu7cyc/v9Xo5rIUGKfekUilcLhfuvvtu7N27F8uXL+dVk2jSmZmZqK+vh7+/P7q6uqDT6RAaGorm5mZmV9JEFBwcjPXr10MoFCIsLAy33HILRkdHsWfPHiiVShw8eBACgQD3338/XnzxRT4qHD9+HDKZDC6Xi+sK80d6ejp6e3tx6623svMzJiYGHR0daGlp4RbeRx99xHkgFosFCoUC5eXlMJvNWLhwIdasWQO32w2z2QyLxYLQ0FC43W7k5OQgKSkJ9fX1OHbsGHJzczlIeGxsDEuWLOGiL9HI54+EhAQEBATg7rvvxvnz51nzsXr1aoyPj2NsbAytra3o6+tDQ0MDxGIxCgsL0dLSwmpUqVSKoqIiNDY2Qi6XIzw8HLt370ZWVhZsNtsV1m1K0Lr//vvR19cHPz8/JCYm4uDBgwwvamhouOI1BgUFYffu3ejv7+cwaIlEArVaDbVazTi94OBgDA4OQiqVcqoWZaIS/Rr4X+v4G2+8wX6Sf9Vl+mXjhqpBTE1N4U9/+hOrBIVCIUpLS/Hb3/4Wu3fv5jc6IiICjz76KF5//XWUlJRwKM7o6Cg2btzIsXiUihQREcG+gsjISLzwwgv4/e9/zwi10dHRK7gMOp2OzUR9fX3weDz44x//iJiYGOZlzs7OXrU9pYudmAeUvbBs2TJG6qenpyMnJ4cr74Sjl8lkjNnLzc1FWFgYVCoVw3Yp2JeOCSEhIZx3kZmZiR/84AfYtGkTDhw4gAULFsBms+HPf/4zVCoVqqqqEBcXh66urmvyIbu6upgoZTAYMDIygqGhIdhsNlRXV3MVHgAj/wgus2/fPmzZsgUikYgTx0lPQuIqn8+H3NxcPPLII/jWt76FtLQ0bNq0CZs3b0ZCQgIbsj755JOrrgmVSoXy8nJIpVLo9Xq0trZi3759+PjjjyEQCKBWq7F48WKkpqYiIyMDcXFxaG9vR2trK9asWQOtVou0tDQUFBRALBYjPz+fHbLPPPMMkpOTsW/fPtZF0I6SiuKxsbGoq6vDqVOn0NfXh7S0tKuOaQKBABUVFQysBcAkssDAQOj1ek59DwsLY0EZieEIOEyjqKgIWVlZKCoqQmBgINatW4dFixZdl3vsi+OGmiDkcjkaGxvxhz/8AQBgs9lw9OhR9Pf3429/+xt27NhxBVcgISEBv/jFL/Dtb38bt99+O5uXSFVIN2FwcDDuvvtufPOb38Rjjz2GlJQU1NbW4o9//CPq6urYHTk8PAx/f39UVVVxSy0mJoZ3EvX19Vw1J3fo/EFVdwAMbaHnJuUl8S3PnTsHiUQClUoFtVoNnU6HiIgIVFdXY2RkhAVTLpcLJSUl0Gq1aG5uZpFRQEAA+wY6OjqwaNEi7N+/HwaDASkpKdDr9dzKvfXWW7md90XTUXp6OqKiojAwMICwsDBkZmZi4cKFOHLkCIaGhgBcZjBSNibBXBwOByoqKtDf3w+VSoUnn3wSIpEIRqORhWa0wsvlck5Nj4yMxOrVq6HRaNDd3Q2VSoXMzEwOzP0iCdrPz4/ZjhKJBGVlZRgYGMDp06dx5swZPkqKRCJs2LAB6enpHDTk9XpRUlKC5uZmdHR0IDQ0FNXV1aitreW8zaGhIbz//vswm82YmJhAbm4u52nQ0e3kyZPIycmBXq/HkSNHrjo6+nw+fh1OpxPV1dWoqanh8KeMjAw2pwkEl1PaS0tL8cknn6C7u5sLul8cS5YsgVKpREpKylVW9+s1bqgJorm5GXNzczhw4AC78x5//HFO4G5vb8fDDz+M1tZWeDwe1u4XFhZi48aNWLRoEadhE0tieHiYmQULFy5Eeno6Nm3ahMHBQQQHB+PUqVPs9+/u7obH44HNZuMOg9PpxO23346goCBYLBZudZIVeP369SguLkZJSQlEIhF7MuYrKgmnX1BQgLCwMFy6dAlKpRIDAwNwu91ISEhgrBrd/GSPzsnJYbRceXk5PvzwQwDgyUkikeDkyZPwer34xS9+AbFYjMHBQaSkpPDPNzIyAp1Oh/DwcE6DotHS0oKxsTEu/jU2NvL7PTMzA7vdzlvn8fFxVFdX80pNdnEAuHTpEp5++mlWmIaFhcHr9TJ7s6amBjabDVarlYu/CoUCk5OT+PDDD9HX18e5ogkJCQwFIsNeYGAgZDIZ1q1bh4ceeghJSUlob29nMVxsbCxmZ2dRWFiIZ555Bo888gjWrl3L36e8vBwzMzO46667oNfr0dPTg9jYWFgsFpw7dw5SqZQJ46SrcbvdnK9qNBpRX18PiUSCoKAg7Ny5E21tbdi5cyd/byoy1tfXIyoqCoODgwwbDgsLg8vlgtFoxNTUFLZs2YJvf/vbEIvF+Otf/4o///nPV90Px48f513t/FS26zluqAkiPT2do8deffVVZjiuW7eOidB2ux3f+9738NRTT8HlckGtViMqKgoLFizAPffcg+TkZOzfvx8vvPACY8QaGxsZbOrz+RAVFYWf/vSn3IMOCAhAa2srQkJC4PV6UVRUxD15khZ3dXUhKCiIC6UAGJtPqHIyggFgXQGRmfV6PUNHAgMD+bzc3t6OqqoqxMbGIj4+HkajEREREVi2bBnWrVuHhIQEnD17FklJSTAajWyMIrGPxWKB1+tFbW0tHzlmZv7f9s48LM7y3P+flx2GfZth3yGBAIGQBLIvJpr1xLgkam3TWltb9dQtWs+p9hxbe7S2WmusrdaldY8aY4xmNbuYEJIAIRD2fR0Y9mEZYH5/wHMfsrlUo8nv8L0uLoZhmHmYed/nfZ77/i4WqqqqCAoKkjaowWAARqzM7r77bm6++WZ+8YtfUFBQQFFRkUyiYWFhvPbaa8TGxsoJorQYim6uVIuJiYksWrRICsNZWVmsX7+effv20dHRQW9vrzAnQ0NDKSwsFOOegYEBQkJC6O3tJTw8nBdffFEk84oSD7Bw4UIA2fIolemECROkYGpvby+Rh2pMd9xxBytWrMDGxobQ0FBaWlqwtbWVHE8PDw9sbGzYs2ePUJ4VwzIwMJC6ujqCgoJYsmSJMG2V2W1MTAz19fUijCsvL6e4uBiLxUJGRgY/+9nPsLW1JSAggIaGBgwGg1DFx0Ys+Pn5sXjxYnJzc3FycmLRokVnnA979uyhtLQUi8VyTt3jm8JlVaS8++67yczMFCt6deBdffXVDA8Ps3XrVqkM5+bmCjtS4amnniIhIYGuri40TeOll14iICBAGJjK2Wj58uUkJCRQXl6Op6enpBYVFRWxaNEijhw5gre3t9QSampqiI2NxWAwYDabWbNmDYcPH+bUqVOiLVBbC2X8opb/yulJhb9ERkbS3NxMTU0N0dHRWCwW6uvrRSKunKWjoqIkxeuNN96guLiYX/ziF2KYqrQUit68detWkpKS+OlPf8rf/vY3ent7KS4uJjQ0FFtbW0kld3BwoL29naamJjF8MRqNuLu7U1ZWJishtcWysbEhIiKCjo4OQkJCmDNnDu3t7eKt4e7uTnZ2NvPmzePYsWNSI9m9ezdz5syhs7MTd3d3DAaDEK+6urrw9vamvb2djz/+mNtuu42uri5Onz5NdHQ0dnZ2HD9+/IzP1tbWlpycHNavX3/OcVNSUkJtbe05JxiMFPwGBgZIS0uju7ub/Px8YWD6+vpib28vRcq+vj7xEUlLS8PPzw87OztJXff29iYiIgIbGxuGh4dpbW2lqKiIxsZGoqOjaWtro66ujpUrV5Kbm0tpaSlvvfUWM2bMID4+HkdHR/bu3YuXl5dMGABLly6lvb1dipQADzzwALNmzeKDDz4Qvs/FwGU1QSi7OOV4rLj6Op2OmTNnkpOTI8Eug4ODku2o0NfXx86dO8nIyCAyMlLszFpbW0lPTxfZeFFREc7OzmRkZAjH32KxiPWaUnIqRV9QUBCapjE8PExXVxd5eXm4ubmRkZFBVlYW7e3tODk5SVEURgpXc+fOpaqqioGBAXp6enB2dqawsFCYcaWlpcILaGhowNPTEzs7O7y8vGhsbCQyMpLg4GACAgI4fPgwf/rTn5g5cyaAkL3uu+8+Xn75ZUpKSkTGPHfuXDF0+ctf/kJ0dDQeHh5ERETg4+PDm2++KbF/hw4dkkTugoICUZXW1dWJ3Lqnp4ef/vSnItzasWOHWOapff6ePXtISkoiLy+PhQsXsnfvXlatWnUGzTg4OJiGhgYCAwMB+MEPfkBLSwstLS1ERUXJtjAoKEgSwxX0ev15JweAmJiYC7Ic9+zZQ1VVFVOmTKGxsVG8HpVXhhJrqY6HSkhTqeLt7e3i+6ko0q6urnh7exMQECCaEBXoe/ToUSwWCwsXLsRoNJKamkpFRQUGg4HBwUG8vb1lBWo2m8Wp/JNPPsHe3p4jR47Q3NzMVVddJVYCFzMd77LZYsydO5c//vGPFBcXU11djbOzM21tbfT09EibUhnJBAcHU1NTw1NPPSU+EEVFRaxevVoi21pbW2WFodfreeONN7BYLEJZbm9vp7i4mMDAQGnvzZ49m/LycrEps7e3l22HEm+5ubmRmppKfHw8bm5urFmzhlWrVjFnzhxiYmKYN28eM2bMIDU1leTkZCmEaZomCd5jPQkdHR0lAXvy5Mk4OTlRV1dHVVUVxcXF6HQ67r//fvmfVbCtmszKy8vlwP7ss88YHh6WwNlJkybxX//1XxJUnJ+fLzUU5a9pNBrp6OjA09MTq9VKfn4+8fHx5OXl4eDggKurK8uXLycgIEDYrLNmzaKsrEyYgImJiaxZs4YVK1YwY8YM8vPz8fPz44477uC3v/0t3d3d9Pf309bWxu7du8WxXKVx5+bmSt8/PDwck8lEWlraGUHBDz744OceP4qpeTby8vKoqqri/fffp7q6mqKiIlH9Kq6J8oRQ+o2bbrqJWbNmodfriYmJwcvLCy8vL1pbW8U8dv369cyZM4enn376DB1PSUkJTz/9tGSlBAcHYzQahRU5ffp0abVfeeWVouZduHAhc+bMITY2Vtr8SlNysbYXcBmtIPbv3y+3U1JS6O3t5ZZbbpGMxZqaGq655hq5wldXVwMj9F+j0YjBYGDZsmUkJiby9ttvy1Xghhtu4M9//rMcpCpMdtKkSRiNRsrKyigrK6Onpwc3NzcCAgJkBaHMTtatW8ff//53goKCqKqqYmhoiBUrVogfgYeHB21tbaJwPHLkiGw5rr32WrKzs2UygJHVhfKW8PPzk3Tp8PBwjh8/TlNTEzqdjv3797No0SJ0Oh1/+MMfuO+++6TNqlSlqmCr0+loaGiQVLC///3vXHfddRw/fpyKigpxu1JuUvb29hw6dEjMd4aGhoTjUFdXR0NDA/7+/iQlJdHX18e7776LjY0Ny5Ytw8vLi1deeYW5c+eSnZ3NlClTuOeee0RurVK9tm7dypIlS3juuefw8/NjyZIlLFq0iKGhIUpKSggICMDX11ds8Z2cnGhra5NuVGxsLElJSfj4+JxjMz8W999/P8PDw/zoRz+iuLhY9v4mk0lCj/v6+uju7pbM07q6Ouzt7QkPD5fXDg8Px8nJiZCQEIkHcHV1le2EsgA826Oyra2NU6dO0d/fT319PY2Njdx8882kp6cze/ZsduzYwa233oqXlxfu7u4UFhaybt268/4vXl5ezJgxQyaVLVu2XJDM9U3gspkgxuLEiRMsWLCA9957T64kKsj03nvvZaxC9emnnxb3KUdHR6Kjo7njjjvYtGkThYWFvP/++8ybN499+/bJxBAdHS3qvwMHDmA2m6Xm4ObmJoUtgIKCAt58802mTJki/euKigry8vKwtbXF1dWVyZMnM2HCBIKCgjh69KjwNaqrq5k0aZLQalWLVJ3ger2exYsXU1JSQl9fHzExMdTU1JwR9/f6669z/fXX4+Pjw0MPPcTmzZt56aWXWL9+PT09PZjNZhITEykrKxNl69KlS4ERodHx48fp7e2VuMKcnBz8/f2pqakR7wLlqq0cpIuKikS34e/vT0VFBQUFBURFRXHgwAGam5vFoTo4OJjt27fj6urKunXrJOFMdTeU38HOnTvJy8vj6aeflrpEX18fixcvJjo6Wl6jvb0dNzc3fH19pahoY2ODyWRi7dq1HDx4kP7+fvFrWLt2rQjp2traMJvN1NbWotPpJAVsrFTa3t5etjLK8WrGjBkMDg6Sl5eHpmk0NTVRUVGBg4ODBCG3tbURFhbGe++9x6lTp0hOTpbnXLZsGf7+/rS1tdHS0kJbWxuTJk0iPj6ewMBAbG1tqaiokNrFlwkKbm9vZ3BwkI6OjotmNweX6QQBI3vH+fPns3nzZhYvXszEiRMZHh5m2bJlZ8hyCwsLxRlICZJ0Oh1r164lNjaWxx9/HIPBgLu7Ox0dHaLsU0SmAwcOSB89NDQUnU5HWFgYubm5TJw4kdDQUIqKiqioqMDLy4vU1FR6enpwcXERH8SjR4/y6aefSpJXQkIC+fn5Ug9JTEw8I9DV39+f4eFhqfCrMJ6Kigp++9vf8sMf/lCCWjdt2kRLSws33HADLS0tpKSk4OXlJSa6cXFxVFVV4e/vzyOPPIKDgwMTJ07EyckJGxsb8epUrk6qu9LU1ERwcDARERFygnV1dTE8PCzbjcDAQI4fPy6sVrPZTHl5uZjVzJw5k+rqajRNY//+/Zw8eZJJkyZRUlJCcHAwSUlJzJw5k4KCAtzd3WloaGDDhg2kpKQQHx9PT08PmqaJPF+ZtjQ1NWGxWAgKCiIkJISysjK2bt0qku+AgAC8vLykdtDU1CSWfco7U6k7lbBN1YbU9k79bG9vT0NDA42NjeIxkpuby+TJk2lraxM2anJyMnZ2dqSkpJxjNKscyPr7+zGZTCxfvhwHBwf5nLu7uzlx4gQRERE0NzczYcKELzz+c3NziYqKoqOjQ3QZFwOXTQ3ifFAfbn19PVu2bCEvL4+77rqLgwcPivahrq6O22+/XYxMVNahKkL+7W9/Ex8FZcV+4MAB3N3d2bFjhyz7VcuspKRE6h4nT57EZDLJNqKnp0e2Nn19fQQHB+Pj40NoaChGo5HCwkJMJhP5+flcccUV6PV6amtrCQsL4/rrr2fGjBnMmDGDlStXkpCQQE9PjwT3dHd38/LLLxMaGkpkZKRwEZqamqiurqa5uZmcnBx6e3tJTk4Wc5nW1lYKCgpoamqiublZnkOtuNzd3enp6aGkpAQXFxdmz55Ne3s7np6eok/o7OyUArG3t7dU61W9ZWyytFKhmkwmSchWE5HqxlRVVXHq1Cl0Oh39/f1UVlZiNpuxtbUlMzOT5ORk/P39JdU7JSVFgnFSU1Px8fGhs7OTmpoanJyc8PDwEKWpMstRDFOz2SztZavVytDQEH19fVJgVO+jMqZVCWSBgYEkJCSI9+bOnTv58MMP2b59O4WFhfj7+5OYmEhQUBDTp0/HycmJkydPEh4eTllZ2TnHqqpRTZw4kaSkJIllqKmpwd7entraWvbv38+mTZu+1LGvQnjuvPPOcwRs3yQumxXEP/7xDzk4VJXbaDSK6WpYWJjsk3/84x9LclFFRQXJycmsX7+eF198UQxITSYTXl5e+Pr6cvPNN3Pw4EEOHDhAQ0MDrq6uvPfee+JkrCrUZrOZ4eFhQkNDmTBhAtnZ2ZIBYbFYpHpdXV1NQECA7KWVth9GZv7IyEgxQKmtraWgoICf/OQn4s+ofCl8fX2lbuHl5SXt0Ycffpi77rqL7u5uQkNDqayspKOjg4SEBOl6qL5/QEAAvb29kp/h7u4uxJzBwUGSk5PFU1OtHCZMmMDWrVsxmUzSiVDpYs7Oznh6ejJp0iSRrickJFBTUyM27qrgdvLkSby8vJg0aRKZmZniGVpVVUVLSwtBQUHU1tYKN2N4eBhXV1d++9vfkpKSQmdnJ3Z2dvz85z/ne9/7HpmZmVgsFiZMmEBpaSktLS3U1dVhNBpF/GZraytsUHUSKZMelYqmJgoHBweJMrCxscHLy0s8Oz09Penr6xNWqDLKsbe3x2Aw4OrqSmNjI5WVlQwODvKTn/wELy8v3nzzzXOYlDAShOTk5ERmZiZ1dXXiLj5p0iRsbW05fPgwhYWF1NXV4evry+DgoAjVzgfFQVFdoouFy2aCOHr0KFVVVaxbt45t27ZRU1NDREQEnp6enD59mpycHH7/+99L1VeF0Hp6euLr60thYSGPP/44ixcvxs3NTWoIKggYRvIy//KXv2CxWMS7UX1Qg4ODsl9uamrC1taWqKgoQkJCxJfB1taWnp4e+Ru9Xk9oaCgDAwO4urqKk1RXVxe1tbXEx8fLAfbyyy8zefJkNm/ejKZpREdHyzZgbP6iSjAPDAykuLhYeBWPPfYYd9xxhxiPKLKUOnhef/11ya5Q9vSqHpGbm0tSUhJZWVkS0nvVVVexZcsWcaNuaGjAzs6OpKQk3N3dSUhIkElLLZ2tVisWiwU3NzcRGDU2NopXQlFRkZDXbG1tpUU4Z84cysrKKC0tJTExkerqanJycuju7pbawfe//33s7Oyora0VEphioqr/ZWhoCKvVSn9/v0zWarLs7OwUzw5lZuzo6Iinp6fkc/T29jJhwgQ++ugjMaFJT0+XUOHOzk5JQRvLGK2vr8dsNuPi4sK6devOYaMCYqozNgRn69atBAYGkpqaip2dHXv37sVoNIoq9Gy89957lJSUiGuXh4cH8+bN+0rJ418Vl80EsW3bNoKDgzlx4gT3338/BoMBg8HAp59+yqeffioGHArXXnst9fX1ZGVlYbVa0el01NTUsGXLFhwcHAgLC2PGjBkEBwcLN//dd98VzYE6EVU7ytXVFRsbG/ECPHXqlCxtXV1d8ff3F1dn5RGopLxhYWEiMKurq8NkMlFWViZXsqamJjw8PMjKyhJbfV9fX+HwG41GWUmo7dH999/Po48+SlNTE8PDw3h4ePDCCy8AI5mWKpZNr9eTkZHBzp07aW1tFWZfbGzsGREBKrptwoQJkj4VFxdHR0eHWPwroxt1hXZ2dpbHuri4EBkZSUdHB25ubmLLr75U/QIgOTmZnJwcjEYjixYtEq2Jg4ODXL0VmW3x4sXi8J2ZmSnJZXZ2drK9UG7TarLq7+8XN2mVn9rT0yP1p4GBAaKiorjyyitJS0sTLYiqYagayxtvvEFcXBz29vbSSQoKCmLevHl8/PHHfPzxx2KS+9hjj/Hcc88BXDAu72wsX75cjs/U1FSys7MlLPl8UJ0Tg8GAn58fjo6OtLS0nDe785vCZTNBTJs2TdiHTz75JKtWraKhoYHHH3+cV199VXQAyjNAaQs0TaO8vFwETq6urvT09HDo0CEqKirQ6/V0dHRwww03SFSeo6Mj9fX1DA0NERQUhKurq+xT7e3tpf1oZ2eHh4eH2KZXV1eLbNzGxobi4mL0er2E5hgMBiIiIsRv8eTJk2RkZHDbbbdRVlYmfpF1dXXiWaFMcS0Wi7hkK7pvYmIinp6eNDY24uLiIlcflRHi5OQkATXTpk2jp6eH5uZmnn/+efR6Pbfddps4NKtJLiYmhuTkZPLy8pg4cSJ79uwhJCQEX19fMjIy0Ov1wEifv7+/n66uLsrLy0V9qK7kKn3Kx8eHiIgI3N3dcXBwAEZWg4pTMGfOHIKDg9Hr9dxyyy2SZuXl5UVLSwtTp07FxcVFlLhPPfUU6enpFBcX09bWJiI3e3t7qTNomibbA0Ama0UJV3wMNTHZ2dnR1NQk7eXZs2dLByorK4vExESioqIwm81MnTqVw4cPi/tUVVXVGR2of+W4Vjhx4oTknJwP6sLT1dVFSkoKHR0d6HS6iyb1BtAuJgvrm0BaWpo1Ozubhx9+mNLSUurq6vD09OS5556TWgSMZBWGhobyyCOPMHfuXFpbW7G1tRUPidzcXA4cOEBUVBR+fn4YjUapjGuaRkpKCrm5uVRUVEglW4XNqABbJaBSHoTqhO7t7RUegYuLi2xRlDWcn58fnp6e4sGgkqfy8/PlSrd8+XIaGxuF+uvk5ISvr6/kTgIicHrggQewt7fn9OnTksaksioDAwNxc3Pjsccew8bGRhKk3N3d2bVrlyyXm5ubSUtL47777qOiooKcnBxMJhN2dnZiVtvS0sLLL79MW1sb69atE0rwWCj6cmdnp3hWxMTEiHWcra0tISEhknGpXKHnz58v6dkqV1QRivr7+zl27BhvvvkmXl5e/OY3v+HgwYO4urri7OzMhg0bqK+vp6WlRTgcDg4OODs7MzQ0JPoLVTtxcHDAx8eHefPmyaooIyODPXv24O/vT1NTE42NjUKIiouLw9PTk+rqau69915gxMbe19eX/v5+/vrXv0rUnZoMBwcH+fTTT7/Wsa5MYwCef/55YcV2dXXJJJSZmcl1110nf6Nawl8HmqYds1qt5yWSXBYriA8++IBbbrmFd955h6SkJKqqqs6xbFOJRE8++STJycmYzWYJ162urpawmRO5elwTAAAgAElEQVQnTgg9WYXgDg4OSndh7OytDFmUi3JGRgbt7e309vbS3NxMVFSUBLIqivfYfbFaWhcXF0tLqr+/n7KyMlauXImNjQ11dXW0trayceNGPDw88PPzIzw8HF9fX3p6esjIyOD48eMS7hMZGSmdlV27dhEaGkpsbCwlJSWkpqaKL+Xg4CAODg5ERERw4sQJAgMDOXbsmITyKm1EVVUVBoMBTdMoLS3F2dmZwcFB3N3d6ezs5NixY6xevZoPPviAjRs3snPnzjPe98WLF4tCMzU1lfDwcGpqaqQNWlNTw/DwsLh0LViwQOoZKmqvtbWV/fv3k5aWxoMPPohOpyM4OJilS5dSWFhITk4O6enpYpTz/e9/nxMnTlBUVERwcDDHjx8Xv0r43xalp6en7P3/+c9/ypgfffRRfH19aWlpobS0FJ1Ox759+7C1tWXNmjXodDpyc3PPOPF+/OMfs3nzZiorK+nr6yMsLEws7dQk/3WhfFFramp466238PHxoaioCF9fXxISEhgeHiYiIuKMv/m6k8MX4bKYIA4cOEBHRwczZ86ktLRUruBjkZycTGlpKSUlJaxfv54pU6awatUqyQ4YHh7mtttuo7i4WKzSKisrefPNN2lraxPOvNFolBahra2tFN68vb3JycmRfa6fn58kOlVUVEjLrru7W5KZ9Ho9JpNJvBrUymHChAlkZmaSlpaGk5PTGcG6ixYtwmw2U1paKqYwKoMxKysLQLYbfn5+bNu2TVputbW1+Pv709nZKe3DsLAwYmJiOHr0KIGBgWRlZXHFFVdI2tcHH3xAYGAg4eHhbNy4keDgYHbt2kVAQACzZs3ivvvuY8+ePdTW1tLZ2XnOZ/OjH/0Ik8kkV29nZ2dZUTU0NLBnzx42bdqEt7e3TGATJ07kj3/8Iw0NDdjb2xMTE4PVaqWwsJB77rmHW2+9FW9vbyZNmsRdd93FgQMHuO6668jIyBBxmTLara+vp7Ozk+bmZilqquq/Skuvqak5Y8z/+Z//CYx0EG677bYvfRxqmiYhSGorpdylAdLS0sjOzj7jb3784x+Ly/rnIS4uDqvVSmtrKxkZGZw4cQJA5ObKuex8xcuLictii7F27Vr6+/vx8vIiLi6OiIgIhoaG8Pf3lz2/Mos5fvw4Pj4+Urx64IEHCAkJETs35WRkMpnIy8vjxRdfFPcnVaVWdulqe6BsyJuamnB1dRUWX3t7O2FhYWK95uTkhMViEfs7BbPZjMlkEiuxpKQkGhsb+ec//8kjjzyC1WolPj6e4OBgMZ91dnampaUFT09PbrzxRvLz8ykuLqampoZf/epXkh72xBNP8NFHH+Hn54eXl5ecoFarleLiYh599FHS09M5duwYb7zxBl1dXdx0000cPXqUwcFBnJ2d8fHxkRSxZ555Rt6j+fPnk5qayosvvkhTUxOdnZ2iTbCzs+PkyZMUFRUREBBAeXm5GNwMDQ3JyTMwMEBJSQmVlZXisan8OJRFvVpp2drasmLFCjIzM3F3d2flypU8+eST9Pb2Cs09ISGB66+/nqioKKxWK97e3hiNRg4cOMDQ0JB4RHp4ePDpp58SHR1NcXHxBYVc/wruvvtuPv74Y2xtbaXOEhoaSn19PUePHpXHrVmzRupAX2Rkm5aWJuncV199tThJ3X///Zw+fVqIdO+99x7FxcXf2P8C/x9sMRwcHHBycmLbtm2cPn2aFStWYDKZWLNmjVwtly5dSlVVFTY2NpSUlEii9UMPPURqaio33nijkKHy8/Px9/enoKAAPz8/ybVUzD2lzLS3t6enp0f6+hEREbS0tIgM2MnJCZ1Oh8FgkKuot7c37u7uNDc3i525p6en2Kalp6eLEOiJJ54QByYfHx/a2tro6uqSDAtHR0dOnz5NYWEhkydPpr29XU66jo4O3N3duf3226mpqRGTXYPBgI2NDeXl5XR1dfHCCy8QHx9PUlIS+/btk5g+FSwUFxcnuZR6vZ7Y2FjeeecdHBwc6O/vZ8uWLcTExODu7s6JEydwdHSUzsb69euZP38+cXFxUknfvXs3YWFhsj9vb28nOTmZ2NhYMjMzOXbsGNXV1SKNV6new8PD+Pj4cPr0adra2ggPD+ftt98WEZubmxuaprFv3z72799PUFAQer2e5557Tgqnra2t4tWgyGslJSXfuNtSYWEhlZWVsnpIT09H07QzJgeAoKAg2tvbz+tgPhZK+ao6KFu3bqWzs5OIiAg2bNhAeno6ZrOZAwcOnHcVdzFxWUwQ7777rnAR7Ozs+N3vfieFGnd3d2m/zZgxA0dHR/Lz84WT39nZSVZWljgRzZ07F0AUj6rIqPwhYcQuTtGHlVOUyiJQPH1lUa6Wna6urnR2dp6R4qyuCMpeztvbW67ufX19ZGZmEhISQlBQkPhGTJ06laysLA4fPiw28X/605+EIKY4/a2trdIWNBgM1NbWEhwcTGdnJy0tLaLvKC0tZXBwkJMnT/LDH/4Qq9UqakiFzz77TCaE4OBgiYr75JNPZKJTHgUqM7K9vZ0PPviAgwcPirYDIDw8XN4Ltb9Xk9bs2bMlSk/FDMTHxwsvoqqqiqNHj2JjYyPKU2UJr0KbFXnLYDBw7NgxnnnmGe655x5WrlzJu+++S2lpKcPDw5SUlHD77befIff/qkhJSZGl/ljk5uYKlX316tUsXbr0gmxGe3v789YJFi1aJLZzbm5uREdHi0AvIyMDb29vBgYGKCwsJCsrC71eT29vr0zk0dHR3H777dx4443/8v/3ZXBZUK0V9dnFxYWCggJ0Op0QomCk4qtkylOnTmXNmjX827/9GzY2NqIA7O3tJTMzk66uLoKDg8UfwMHBQUg3ikBjsVikndTU1IS/vz9OTk6S06CcqMrKyqiqqkKv12NnZydbj66uLjHJVW03NbkkJyczPDzM5MmT+fnPf467u7voH5ycnCREVxnr9vT0UFNTw/Hjx2lsbGTTpk28+uqr4kClAlwVkcrOzo7w8HCxhnN3d+fvf/87bm5uHD58mM8++wxvb+8z3t/e3l4OHz4sTtmqCzBr1izc3d1ZtmwZfX19WCwWfHx80Ol0Urk/+8QICgoS6npFRQVPPfUUhw4doqGhQSIOFc/AxsaG6dOn09fXJzqQ8PBwEhISpODb2tpKSkoKgGhmpk+fzvTp01m+fLkYxzg4OLB8+XJ+8IMfsHr1aqxWq8javwjnC8ZZtWrVeff769atE4Ph2bNn4+Pjw+bNm9myZcs5j7VYLPj6+uLq6sqqVavk/oyMDHGu8vHxwdvbm9DQUAwGg3hkvPLKK7zxxhusWbOG06dPExMTg8ViITExEScnJxobG3n55Ze/1P/3dXBZTBAwUpFWtmCdnZ24urqybds2vv/97/PRRx9x5513YrFYxLJs2bJlPPjgg1itVtFYNDU1sXHjRol3UxFyfX19snRTijpF29U0TYxkXF1d8fHxwcvLS7IM3N3dxdDU0dGRkpISkYEDcsKq1cmRI0fw9/fH3d2d+Ph44uPjmThxIt3d3eTl5ZGdnc1LL71ERUUFZrMZs9lMYGCgeEnW1taK+EgVRo1GI7W1tXR0dDA0NMTp06fp6ekRt+yPP/6Yffv20djYyJ133sndd999xnv7zjvv8Pbbb4ufpWKhqm7CoUOHWL16NTNmzCA5OVn0DMqqfSxeeeUVEbctWLBAfv/pp5+SmZkpqss//OEP/OpXv6K7u1u2RIqLYDabJVDZ0dFRPEDCw8OJiIggOTlZaOMGg4G9e/eK1kOZ2Wzfvp0NGzZ8qWPrl7/8JQAffvghCxcuZOHChdKyPRvKA8TNzQ0/Pz8qKys5cuTIeZf+zzzzjPhc1NbWMnXqVBISEsjNzaWtrU1a2bNmzeL48eMcPXqUjz/+WKjjeXl5LF26lHfeeQeTyURwcLBsl5ycnEhJSTmv0/c3ictmgti6dSuAGKxs3ryZmJgYcRPW6/W8+OKLsmWws7MjISGBZ599Vui7ZrOZw4cPk5uby4QJEyRNWl01XVxcJOHIarVK60otddva2qivr5e0aEA8KxVbT7U5x2ZjKiq3imqzt7eXrktzczP79u0jMzOT3t5eKY5qmiaio46ODnFE9vHxITMzk+7ubvbt20dDQwNXXnklOp1OTGEaGxsJDAyU6v6NN96Ir6+vXPnP3pO7u7sTEhJCXl6ebLcUli1bRk1NDY2NjRJHOGvWLGEXnh0Y+9JLL/HSSy/h5eWFp6cnP//5z0lMTOTKK68kPz+f999/n40bN+Lj40NMTAw/+9nPmDp1KrNmzZLs0JaWFqFkL1u2TNycVG3BYrFw5ZVXctttt7FixQo+/fRTDh06xGuvvcahQ4f429/+JsncZ0NNgufDihUrJLsTOG8YzdatW2lvb2fVqlUEBARgb29Penq6JJidjVOnTnHkyBFMJhNNTU2Ul5ej0+mEtTp//nwmTZrElClTmD17tnBtSktLz3ie48ePk52djdVqxdXVlejoaBYsWCDks4uFL1WD0DStEugChoBBq9WapmmaN/A2EA5UAtdbrda20cc/CNwy+vh/t1qtO0bvnwK8AjgDHwO/sH6FNkplZSXLly/HYrHwz3/+k8jISFauXElHRweNjY3U1dXx/PPPs2DBAnEbCggI4IknniA7O5ve3l4eeeQRtm/fjl6vFx8BNZN3dXXJyakCcpWQSHU6EhISKCgowMvLS+i9c+fO5aOPPqK+vl4mDvVdFRU9PT1FOt3Q0CCZlFFRUWKh3tvbS1ZWllwdlA+ko6MjfX19EgNvtVqlH28ymdDr9bi6ukpgbXt7OzNnzsRkMnHVVVeJO/bixYuFuj137lyGhobYsGEDERER9Pf3M3nyZDGvVTCbzXzve9/jxRdfxMnJifr6elJTU5k+fbpsWZKSkoTt6OjoyD/+8Q+Ki4v53e9+J0VgDw8P2To0NjZSUVHB1KlTsVgsXHfddeTn54v/p/L8HBgYwMbGhoyMDLZv3057e7skTZ04cULS0q666irKyspwdnYmMzOTI0eOyOeWnp4uyl7gDJLR+eDj40NdXR1Wq1VIS2PR3t7O1VdfLWK3xMTEz82kUL4dqqDp5+dHaGioJKBFRUUxYcIEJk+ejIuLCzt27BAh11icPn1aPmO1jXVzcxMy1cXCV1lBzLdarZPHtEN+CXxitVpjgE9Gf0bTtHhgLZAAXAX8RdM0xT56DvgJEDP6ddVXHXBXV5fs2x9//HHc3d1ZunQpzz33HFdddRUNDQ385je/Yf/+/bKHVHmegYGBYuu1a9cuKR6qA191LEb/D9kWKC8J5UIdFxcnYbZKpgxI4UpBeTqq3Mnh4WFSU1OZP38+27Ztk7afWvUo+rdSJEZGRgrF3Gw209LSIjqDJ598Ejc3N9ra2kQ1qgJfZ8+ejcViIS4ujuTkZIkIPHbsmFylFZ/jrbfekuCVs0k4MBLwomzWHBwc5EqoZODV1dW0t7fT1tYm/AxnZ2dZ3VRXV1NRUUFPTw9XXHEFs2fPJiYmhnfffVdqNKqrcssttzBjxgyuv/565s+fT1pampywym6ttrYWLy8vAF577TU2btyIjY0NISEhmM1mduzYQUhIiHh8ftVQ20mTJpGbm0tISMg5pDBXV1d0Op14Yk6dOpW6urrPrQVUVFTg5uZGf38/06dPZ8OGDfz6178mIyODsrIyURAHBgaKK/tDDz10zvN8+OGHLFq0iIiICNneXWySFHy9Lsa/AfNGb/8D2Ac8MHr/W1artR+o0DStFJg2ugpxt1qtnwFomvZPYBWwja+AsdZzCspRZ8mSJVgsFnbv3s1///d/s3btWqZPn47BYJAko4iICLKzs/H29pZ8A1V0tLOzE/OU/v5+MRhRxU4lrqqoqMDR0REHBwfa2tpwcHCQbAv1PMo+v6amBk9PT2pqaujp6cFoNJKUlERcXByFhYXSr+/u7iYuLo60tDT8/f357LPPpNCorM96enpoaWmRyvyOHTt45JFHMJlMFBQUYGtrS3JyMsuWLaOgoACz2Uxrayv+/v5UV1eLk1Nvby979+6V96+srIwnnngCFxcXrr322nPeX3t7e/GdPHjwIL29vQQEBBAfH09jYyNtbW04OztLa7ixsZH4+HihP586dYqSkhKWLFkik1pvby+vvfYaV155JR0dHfT09ODr60tRURFZWVky6S5evJjExEQJqa2vrxe+iKurqwQhR0RE4OTkxLx584QgdT5fhs/D1KlTmTBhApWVledsnQAcHR1JT0+noaGBoaEhYmJiJMTpfFCCwqGhIVJSUvD29sZqtVJdXU1aWhqVlZXU1dWxe/duVq1aRVhY2Oe2Mdvb2wkNDSUnJ0cuComJiV/pf/yq+LIThBXYqWmaFfib1Wp9HtBbrdYGAKvV2qBpmv/oY4OAw2P+tnb0Psvo7bPvPweapv2EkZXGV5ayrly5kpUrV573d3q9nubmZhYtWiROTcoyXM3GDg4OMnGoarySUPf19eHv78/g4CAhISFkZWWxevVqyZVQtmGOjo4iZJowYQJubm7ExMRI4VHZtrm6urJr1y5gZOl7xRVXEBAQQFBQEPPnz+fpp5+WaHmz2UxCQgJ79+6V6ndUVBS5ubm89dZbQveOjIyksLCQgIAAjhw5gru7O76+vvj7+5Obm0t7eztxcXFnvC9vvPGGcCvO81lIwXXKlCmEh4eTm5tLZmYmS5YsYdeuXdLmVbT0gIAAOjs72bVrF9deey0DAwM8++yz+Pr6EhERgbOzMzNmzGBgYIA9e/Zgb28vlu7Lly+XHA6dTkdZWZmoF6+44goxo6msrKSxsZHrrruOXbt2MWfOHMnt+FfES3/+858pLS3FaDSK1H4sDAaD+EEoR+ve3t4zuhNno6+vj8bGRq699loJGdqyZQuzZ8/Gw8ODiRMnUltbi9lsZvv27UybNo2bb775gs9nNBolKzYsLIwpU6Z85f/zq+LLThAzrVZr/egksEvTtNOf89jzaVWtn3P/uXeOTEDPwwiT8kuO8Uvh7GXj52H58uWS8N3f3y97SUX3VU7Ger0eg8GAg4OD6BBU96OtrY277rqLyspKHnjgAVltBAYG0t3djaenJ8uWLWPVqlWYTCapnk+ePJklS5ZIGO/p06dpbW1lzZo1bN68mfDwcGJiYnj11VcZGhqip6eHwMBAQkNDxWlLFdGUQ/fevXtxc3M7Rx4cFBSE2Wxm5syZzJw5k7a2NmkDt7S00N3dLUYxfn5+xMTESCtO+SEoPoeynLOxseHVV19l5cqVhIWF8aMf/QidTkd2djYpKSnCa6isrMTV1VVYrh4eHtx6662Ul5dTUFCA0WiksbFRVnIqyEen02E0GkVIByOZldu2bUOn032lY2L79u309PTg5OR0jl2cgpOTEyaTSfIvlJfEq6++et6TWq1uMjIyiI6Oxt/fn6qqKmpra8UuLj4+nqKiIjZv3kxZWRnu7u4SHXk+VFZWiqlOa2vreY1pvml8qVewWq31o9+bNU17H5gGNGmaFjC6eggAmkcfXguM7Q8FA/Wj9wef5/5LFqpz8kV44IEHGB4eJi4ujoyMDA4cOEBsbCynT59G0zQOHjxIamoqqampGI1G2tvbKSsrIzIyknvvvVdi7pV2Qn3w3t7eFBUV8fbbb7Nw4ULJj1RydIvFwqlTp6QOMWPGDGxtbcUvc2y2hdoyOTg4nNO+Cw8PJyQkRMROHR0dTJw4EU3TuOKKK7jppps4efIkkZGRODk54e/vz6RJk5g3bx4FBQWikjxy5IiYs8yZMwer1cr999+Pl5cXixYtEnFbQEAAfn5+GAwGEhISJFs1KioKLy8vPDw8pN7S09MjbNns7GwhgYWHh7Ns2TJpPRuNRtLT08Vl+4EHHvhS5q9Hjx7FxcWF7Ozsc3gPJSUlIvZSW0o/Pz8xpmlqauJ//ud/zvu8Q0NDREdHSwJZdXW11JYCAgLYsWMHN998M0VFRVRVVYkPyOdBddbCwsKkWH2x8YUThKZpOsDGarV2jd5eDDwCbAF+ADw2+v2D0T/ZAryhadqTQCAjxcgsq9U6pGlal6Zp6cAR4PvAhTdwlxHOPhDHmuaOxa233orRaCQmJoa1a9cSEhKCwWDA2dmZv/71r3R3d+Pr68v8+fOxs7MjOTmZlJQUGhsb0el0LFmyRGjiRqORLVu2EBcXR1NTE0FBQbIfd3JykjZqTk4OZrOZ4uJinJ2dWbhw4TlbCXd3d+bOncuhQ4cIDw+nqKiI6dOns3fvXj766CNuvPFGAgMDGRoawmw289FHHzFx4kSuvPJKYWaqfEgVI+ji4oKDg4O4M+3evZtXX32VpqYm9uzZQ2FhIUuXLiU/P180HP39/cKWVB0bZeXX2NgooqioqChiY2O5++676e7upqqqimnTpmEwGLjuuut4/fXXiY6OviATEiA7O1vYsVVVVXR1dZ2Tyt3T00NBQQGbNm2ip6dHcjk9PDyIj4/njjvuOO9zq25MYmKipGkpuTuMqHDT09N57bXXOH78OHPnzqWlpYX6+vNfL5OSkigvLz+DnOXg4MChQ4dYu3btef/mm8KXWUHogfdH+/t2wBtWq3W7pmlHgY2apt0CVAPXAVit1lOapm0ECoBB4Har1To0+lw/43/bnNv4igXKyx15eXkX/J1KqIYRa7GFCxdSV1dHcnIy//Ef/8GDDz5IcHAwLS0tkqw1ODhIW1sbrq6uzJ07Fx8fHxoaGqirq5P8DtVh6O7uZtasWYSFhXHy5ElSUlKEor1r1y5uuukmTCYT9fX16PV6yYXw8fFh7dq1bN++XYqRvb29HDhwgIkTJ+Lr64vFYqG9vZ1Jkybh5uYmXJXMzEyx7fPz8+PRRx+lvb2dFStWSOfm5MmTYrmvkqdiY2NJSEhgx44dcjIoYltMTAz29vZs3LgRT09P7rrrLmJjYwHOEDt98skn8vP5oFLZVQqbUu6OxeTJk9m0aRMvvfSSrKp0Oh0ODg6fG3WnrPIDAwPx8/MTjY3K41i5ciXl5eWsXr0ak8mEi4uLpMJd6LhRamODwSAmQCdPnrzoE8QXtjmtVmu51WpNHv1KsFqtj47e32q1WhdardaY0e+mMX/zqNVqjbJarXFWq3XbmPuzrVbrpNHf3fFVOBD/l3DNNdfg6enJnDlz8PDwQK/X89JLL/GTn/yEt956i+eee060GiaTSQqsFouF6OhoiYM/efIkw8PDEpmnyFMDAwNCCFNZoC4uLqxevVrqIwUFBcTGxtLd3U1QUBDPPvsser0es9lMTEyM5Ieq5wgNDWXevHnExsZiNBr5+OOP5f+xtbVlypQpVFRUUF5ezpEjR9i7dy/Nzc3iNKVS1zs7O8VU5+qrryYoKAgbGxumTZvGrFmzSE9Pp7y8nN7eXv74xz9y+vRpoqKizogsdHV1lRPqQlCGPr6+vkyZMoW6ujqZaMZi+/bt1NbW4ufnR0JCAu3t7ZSWll6wxajYnQsWLKC/v5+8vDxR8548eZK+vj7a2tpITU1laGgILy8vDh48SF9f3+cmdCcmJoqwz9nZmYkTJ/L6669/2UPqX8ZlIdYax/mhOBsXgkq+joiIkJO4qakJGxsbZsyYwRNPPAGMUI3//d//nfj4eFavXi1mJUpUFhMTg7e3t6RP6/V66dv7+PiIJqWxsREPDw/Rayij2Llz51JcXCydnKGhIYqLi3nggQe44YYbxADX1tYWHx8fcnJyqK2tFf8PVYsYGBjgxIkTYmnf1dXFXXfdxd69e+VKWldXJ+azaWlpF/RjiImJkTRwX19f6fScjQ8//BAXFxeioqJEwRsYGHhe38m5c+fi7+/PrFmzGBwcZPLkyWRlZZGXlydtXKPRKASum2++GavViru7u9Q4LoTm5mYGBgYYGBhgaGiI7OzsCxZUv0mMTxD/B6Bs3i6EsWKl9PR0jEYjr7/+Oi4uLsTFxeHv709cXJykWuXk5ODg4CBCrebmZqqrqxkYGBCnbmUem5KSIld2VYg9deoUVqsVg8HA5s2bOXHiBPfddx8RERHMmzdPvCQ0TUOn00lXyGAw4OHhQWVlJZqmUVVVRWlpKe+//76oGlX8oaOjIytWrODtt9++4P89NDQkS/xf//rX/PCHP+Tmm2/m1Vdflcd0dHSQlJTEpEmT6O/vJzExUdLgxyIiIkLEVNHR0QQGBmIwGFi7di1Go5GdO3cKL0U5izk7O5Oenk5zczMpKSnndcMGhJbe19fH8PAwxcXFX3hx+KZwWRjGnO3SM47vHg8//DAdHR00NTVx6tQpbG1tqampkaugyjJVxjb19fXY2tpKpyAkJIS2tjYJuwkICCAuLo7AwEBiY2PJyMiQVHGTycQLL7xAd3e3XIF7e3sxGo309PQwdepU3n///TPG197ejo2NDT/96U8ZGhq6oGGLCtwdHh7m4YcfZtu2bSxdupS6ujoOHTqExWIhKSkJBwcHGhoauOeeeyStfdu2bezfv19o8ImJiSxYsICBgQGmT58umSrBwcFUVlby/PPPYzAY8Pf3lxQ2Dw8P3nnnHZqbm2lubuazzz47Ryvj6OhIZGQk4eHh9PX1UVFRwZQpU3jvvfe+kc/y8wxjxieIcVxUKJ9FJWJTYjQXFxehs/f39+Pu7o6Xlxc6nQ6z2Yy/vz9//vOfqa2tFXLWyZMnpb1rZ2cn7d69e/ees9xWtnOfffYZW7duZdOmTTQ0NJwzPrW6USSvjIwMpk2bxrFjx/Dy8sJkMsmk5ujoyB133IGDgwPbt29n586dhIWFUVNTQ3h4OLfeeivFxcU0NjbS2dmJn58fvb29LFmyhKSkJDo7OyVPY+LEiZhMJjHeffPNNzlx4gRRUVFn2Nbp9XpJFEtJSaGtrY2YmBiSkpLO8OH4OrjsHaXGcfni7KX4hfDYY4/R3d0tqdtWq5X169dz7bXXEhQUhIuLi4jeKisrmT9/PnntgyUAAAeJSURBVC4uLjzzzDPnfQ2l8UhPT2ffvn3SYjwbKnELRiav3/3udzz55JN0dHQQHx9PZ2entJVV8NGBAwfYu3cvBoOBlpYWQkNDueaaa7BYLHzve9/jlVdeoaurSzgcTz31FJ2dnVJ4NRgMGI1G9Ho9fn5+6HQ69Ho9N954o9DEFUwmk/ApXF1dqauro7GxkUmTJn3FT+Jfw/gEMY5LAsqT4UIIDAxkxowZANx5550MDQ0Jpf3skwrAy8sLTdOwsbERPsX5UFNTg4+PDxaLBVtbW6644gqeffZZ0ZksWLCArKwsgoKCJGB48+bNYu7j6enJNddcI3GJDQ0NrFu3jk2bNpGdnU1nZyfDw8MSHpyfn8+UKVP4xz/+QXR0NPfccw/BwcE4OzuzZMmSc9qnzs7OBAcH09PTQ3d3N46OjnzyySeUlpayfPnyf/Hd/vIY32KM4/9bNDU10dfXx4YNG3jhhReYO3cuH3zwgfz+scce49ChQ/j4+LBhwwY0TcNqtXLkyBEeeugh/P39mTBhgsT/eXp60t7ezu7du7G1tWVwcJDp06cTERFBXFycZGvcdNNNWCwWCgsLeeKJJ7CxsSEoKIjXXntNXnv58uXCCVmyZImQx+69917xLfnrX/9Kf38/SUlJeHp6UlxcTEJCAnV1dVRVVYmb1tfF520xLhvDmHGM46tCr9cTFhbGE088IR6aY/HLX/6SrVu3UlRUxI4dO8SVa8KECWLmOzw8TFBQEOHh4SK4SkpKwmg04ubmhoeHBwMDA+Tn5xMdHc3w8DAmk4mhoSFmzpzJLbfcwqxZs84gwsEIjV+v16PT6aivr8fOzo7CwkLKysrw9/cnOzsbR0dHAgICxPw4OjqawsJC+vv7zwkwulgY32KM4/88xhrKKLzyyivn3Pf73/9eaNNj/RuUcGr37t04OTnxpz/9icTERBYtWkRaWhpdXV3n5ThERkZK9F93dzdNTU28+eabJCUl4eTkJDaHKg7SycmJyMhISUz/NjA+QYxjHF8S999//5d+7OTJk2lra8NsNlNRUUFVVRW33nrrGY+ZP38+QUFBnDp1Cm9vb6ZNm4anpydGoxGTySRMU03TKCsrY3BwkMDAQJk4vg2MTxDjGMdFQE5Ozhc+RrUplStZf38/mZmZNDY2Sq6Jn58fNTU1eHh4iDGQp6ensGQvNsYniHGM4zuGqk9MmzaNO++8E4CrrjrXjTEuLo6wsDCMRuMXhvF8UxifIMYxjssEF3Lqvpi45NucmqZ1Ad/+O/Pl4Qu0fNeDuAAu5bHB+Pi+Lr6p8YVZrVa/8/3iclhBFF2oR3spQNO07Et1fJfy2GB8fF8X38b4xnkQ4xjHOC6I8QliHOMYxwVxOUwQz3/XA/gCXMrju5THBuPj+7q46OO75IuU4xjHOL47XA4riHGMYxzfEcYniHGMYxwXxCU7QWiadpWmaUWappVqmvb5ZgHf7Ou+pGlas6Zp+WPu89Y0bZemaSWj373G/O7B0TEWaZp25Zj7p2iadnL0d3/WlKXS1xtbiKZpezVNK9Q07ZSmab+4xMbnpGlalqZpuaPj++9LaXxjnttW07QTmqZtvdTGp2la5ejz5mialv2dj0+lVl9KX4AtUAZEAg5ALhD/Lb32HCAVyB9z3++BX47e/iXw+Ojt+NGxOQIRo2O2Hf1dFpDBSOTgNmDJNzC2ACB19LYbUDw6hktlfBrgOnrbnpGApPRLZXxjxnkP8Aaw9VL6fEeftxLwPeu+72x839pJ/xXfpAxgx5ifHwQe/BZfP/ysCaIICBi9HcAIeeuccQE7RsceAJwec/8NjIQef9Pj/ABYdCmOD3ABjgPTL6XxMRL5+AmwYMwEcSmN73wTxHc2vkt1ixEE1Iz5+YJJ4N8SzkgyB8YmmZ9vnEF8ySTzfxWapoUDKYxcpS+Z8Y0u33MYyWrdZbVaL6nxAX8C7geGx9x3KY3PCuzUNO2YNpJy/52O71KlWn/pJPDvGF87yfxfelFNcwXeA+6yWq2dn7O9/NbHZx2JWZysaZonI5GNn+ds8q2OT9O05UCz1Wo9pmnavC/zJxcYx8X8fGdardZ6TdP8gV2app3+nMde9PFdqiuICyWEf1do0kYSzNG+4yRzTdPsGZkcXrdarZsutfEpWK3WdmAfcNUlNL6ZwEpN0yqBt4AFmqa9dgmND6vVWj/6vRl4H5j2nY7vm9x3foP7VzugnJHCiypSJnyLrx/OmTWIJzizSPT70dsJnFkkKud/i0RHGSnQqSLR0m9gXBrwT+BPZ91/qYzPD/Acve0MHASWXyrjO2us8/jfGsQlMT5AB7iNuZ3JyAT7nY3vWznh/sU3aykjVfoy4D+/xdd9E2gALIzMxLcAPowUtkpGv3uPefx/jo6xiDGVYiANyB/93QZGWatfc2yzGFkq5gE5o19LL6HxJQEnRseXDzw8ev8lMb6zxjp2grgkxsdI1y539OuUOu6/y/GNU63HMY5xXBCXag1iHOMYxyWA8QliHOMYxwUxPkGMYxzjuCDGJ4hxjGMcF8T4BDGOcYzjghifIMYxjnFcEOMTxDjGMY4L4v8BgTDOxstw5SsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use hillshade function on a DTM Geotiff\n",
    "arcticdem_hs = hillshade(arcticdem_array,225,45)\n",
    "rio.plot.show(arcticdem_hs,cmap='Greys')\n",
    "#plot_band_array(teak_hillshade_array,teak_dtm_md['extent'],'TEAK Hillshade, Aspect=225°', 'Hillshade',colormap='Greys',alpha=0.8)\n",
    "ax = plt.gca(); plt.grid('on') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure(frameon=False)\n",
    "im1 = plt.imshow(teak_dtm_array,cmap='terrain_r',extent=teak_dtm_md['extent']); \n",
    "cbar = plt.colorbar(); cbar.set_label('Elevation, m',rotation=270,labelpad=20)\n",
    "im2 = plt.imshow(teak_hillshade_array,cmap='Greys',alpha=0.8,extent=teak_dtm_md['extent']); \n",
    "ax=plt.gca(); ax.ticklabel_format(useOffset=False, style='plain') #do not use scientific notation \n",
    "rotatexlabels = plt.setp(ax.get_xticklabels(),rotation=90) #rotate x tick labels 90 degrees\n",
    "plt.grid('on'); # plt.colorbar(); \n",
    "plt.title('TEAK Hillshade + DTM')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import shapefile of glaciers in area of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'init': 'epsg:4326'}\n"
     ]
    }
   ],
   "source": [
    "import fiona\n",
    "\n",
    "path_to_shapefile = '/srv/shared/data-crossovers/AOIglaciers/RGI6xAOI.shp'\n",
    "\n",
    "c = fiona.open(path_to_shapefile, \"r\") \n",
    "shapes = [feature[\"geometry\"] for feature in c]\n",
    "print(c.crs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "cannot unpack non-iterable DatasetReader object",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-92-27a5a1820b2f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mArcticDEM_src\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrasterio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_to_ArcticDEM_folder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mrasterio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreproject\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mArcticDEM_src\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msrc_crs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"EPSG:32607\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdst_crs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"EPSG:4326\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0marcticdem\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mArcticDEM_src\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmasked\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mArcticDEM_src\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/rasterio/env.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    383\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mEnv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_defaults\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 385\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    386\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    387\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/rasterio/env.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    606\u001b[0m                                 param, full_kwds[param], inequality, version, reason))\n\u001b[1;32m    607\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 608\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    609\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    610\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/envs/notebook/lib/python3.7/site-packages/rasterio/warp.py\u001b[0m in \u001b[0;36mreproject\u001b[0;34m(source, destination, src_transform, gcps, src_crs, src_nodata, dst_transform, dst_crs, dst_nodata, dst_resolution, src_alpha, dst_alpha, resampling, num_threads, init_dest_nodata, warp_mem_limit, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m             \u001b[0msrc_bounds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0marray_bounds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msrc_height\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrc_width\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrc_transform\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m             \u001b[0msrc_rdr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrc_bidx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msrc_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msource\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m             \u001b[0msrc_bounds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msrc_rdr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbounds\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m             \u001b[0msrc_crs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msrc_rdr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: cannot unpack non-iterable DatasetReader object"
     ]
    }
   ],
   "source": [
    "import rasterio \n",
    "from rasterio.mask import mask\n",
    "from rasterio import warp\n",
    "\n",
    "path_to_ArcticDEM_folder = '/srv/shared/data-crossovers/ArcticDEM/42_06_2_2_10m_v3.0_reg_dem_32607.tif'\n",
    "ArcticDEM_src = rasterio.open(path_to_ArcticDEM_folder)\n",
    "\n",
    "rasterio.warp.reproject(ArcticDEM_src,src_crs = \"EPSG:32607\", dst_crs = \"EPSG:4326\")\n",
    "arcticdem = ArcticDEM_src.read(1, masked=True)\n",
    "print(ArcticDEM_src.crs)\n",
    "with rasterio.open(path_to_ArcticDEM_folder, \"r\") as src:\n",
    "    out_image, out_transform = rasterio.mask.mask(src, shapes, crop=True)\n",
    "    out_meta = src.meta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import fiona\n",
    "path_to_shapefile = '/srv/shared/data-crossovers/AOIglaciers/RGI6xAOI.shp'\n",
    "c= fiona.open(path_to_shapefile, \"r\") \n",
    "\n",
    "#shapes = [feature[\"geometry\"] for feature in shapefile]\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'init': 'epsg:4326'}\n"
     ]
    }
   ],
   "source": [
    "print(c.crs)\n",
    "inProj = Proj('EPSG:4326')\n",
    "outProj = Proj('EPSG:32607')\n",
    " = transform(inProj,outProj,x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
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